From 071f899c1ab361682864d158bacdb42797ce4763 Mon Sep 17 00:00:00 2001
From: davidrollins12
Date: Wed, 5 Feb 2025 15:56:52 -0600
Subject: [PATCH 001/106] Update the csv files with examples and update pages
to contain overviews and examples
---
.gitignore | 4 +-
README.md | 93 +++++++++++++++++--
docs/assets/custom.css | 10 ++
docs/home/tutorial.md | 43 +++++++++
docs/model/DataDSP.md | 30 ++++++
docs/model/dataset.md | 32 +++++++
docs/model/education.md | 31 +++++++
docs/model/file.md | 34 +++++++
docs/model/grant.md | 37 ++++++++
docs/model/person.md | 36 +++++++
docs/model/publication.md | 36 +++++++
docs/model/study.md | 32 +++++++
docs/model/tool.md | 33 +++++++
docs/valid_values/file.md | 2 +-
docs/valid_values/sharingPlans.md | 2 +-
mkdocs.yml | 7 +-
modules/dataset/annotationProperty.csv | 30 +++---
modules/dataset/template.csv | 15 +++
modules/education/annotationProperty.csv | 51 +++++-----
modules/education/template.csv | 26 ++++++
modules/file/annotationProperty.csv | 39 ++++----
modules/file/template.csv | 20 ++++
modules/grant/annotationProperty.csv | 36 +++----
modules/grant/template.csv | 18 ++++
modules/person/annotationProperty.csv | 40 ++++----
modules/person/template.csv | 20 ++++
modules/publication/annotationProperty.csv | 36 +++----
modules/publication/template.csv | 18 ++++
modules/sharingPlans/annotationProperty.csv | 48 +++++-----
modules/sharingPlans/template.csv | 25 +++++
modules/study/annotationProperty.csv | 28 +++---
modules/study/template.csv | 14 +++
modules/templates/10xVisiumAuxiliaryFiles.csv | 2 +
modules/templates/10xVisiumRNALevel1.csv | 2 +
modules/templates/10xVisiumRNALevel2.csv | 2 +
modules/templates/10xVisiumRNALevel3.csv | 2 +
modules/templates/10xVisiumRNALevel4.csv | 2 +
...mSpatialTranscriptomics-AuxiliaryFiles.csv | 2 +
...umSpatialTranscriptomics-RNA-seqLevel1.csv | 2 +
...umSpatialTranscriptomics-RNA-seqLevel2.csv | 2 +
...umSpatialTranscriptomics-RNA-seqLevel3.csv | 2 +
...umSpatialTranscriptomics-RNA-seqLevel4.csv | 2 +
modules/templates/Biospecimen.csv | 2 +
modules/templates/DataDSP.csv | 2 +
modules/templates/DatasetView.csv | 2 +
modules/templates/EducationalResource.csv | 2 +
modules/templates/FileView.csv | 2 +
modules/templates/GrantView.csv | 2 +
modules/templates/ImagingChannel.csv | 2 +
modules/templates/ImagingLevel1.csv | 2 +
modules/templates/ImagingLevel2.csv | 2 +
modules/templates/ImagingLevel3Image.csv | 2 +
modules/templates/ImagingLevel3Segments.csv | 2 +
modules/templates/ImagingLevel4.csv | 2 +
modules/templates/Individual.csv | 2 +
modules/templates/Model.csv | 2 +
.../NanoStringGeoMXROISegmentAnnotation.csv | 2 +
.../NanoStringGeoMxAuxiliaryFiles.csv | 2 +
.../templates/NanoStringGeoMxDSPImaging.csv | 2 +
.../NanoStringGeoMxDSPImagingLevel2.csv | 2 +
.../templates/NanoStringGeoMxDSPLevel1.csv | 2 +
.../templates/NanoStringGeoMxDSPLevel2.csv | 2 +
.../templates/NanoStringGeoMxDSPLevel3.csv | 2 +
modules/templates/PersonView.csv | 2 +
modules/templates/ProjectView.csv | 2 +
modules/templates/PublicationView.csv | 2 +
modules/templates/SequencingLevel1.csv | 2 +
modules/templates/SequencingLevel2.csv | 2 +
modules/templates/SequencingLevel3.csv | 2 +
modules/templates/Study.csv | 2 +
modules/templates/ToolView.csv | 2 +
modules/tool/annotationProperty.csv | 88 +++++++++---------
modules/tool/template.csv | 46 +++++++++
scripts/hooks.py | 3 +-
74 files changed, 935 insertions(+), 206 deletions(-)
create mode 100644 docs/assets/custom.css
create mode 100644 docs/home/tutorial.md
create mode 100644 modules/dataset/template.csv
create mode 100644 modules/education/template.csv
create mode 100644 modules/file/template.csv
create mode 100644 modules/grant/template.csv
create mode 100644 modules/person/template.csv
create mode 100644 modules/publication/template.csv
create mode 100644 modules/sharingPlans/template.csv
create mode 100644 modules/study/template.csv
create mode 100644 modules/templates/10xVisiumAuxiliaryFiles.csv
create mode 100644 modules/templates/10xVisiumRNALevel1.csv
create mode 100644 modules/templates/10xVisiumRNALevel2.csv
create mode 100644 modules/templates/10xVisiumRNALevel3.csv
create mode 100644 modules/templates/10xVisiumRNALevel4.csv
create mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-AuxiliaryFiles.csv
create mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel1.csv
create mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel2.csv
create mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel3.csv
create mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel4.csv
create mode 100644 modules/templates/Biospecimen.csv
create mode 100644 modules/templates/DataDSP.csv
create mode 100644 modules/templates/DatasetView.csv
create mode 100644 modules/templates/EducationalResource.csv
create mode 100644 modules/templates/FileView.csv
create mode 100644 modules/templates/GrantView.csv
create mode 100644 modules/templates/ImagingChannel.csv
create mode 100644 modules/templates/ImagingLevel1.csv
create mode 100644 modules/templates/ImagingLevel2.csv
create mode 100644 modules/templates/ImagingLevel3Image.csv
create mode 100644 modules/templates/ImagingLevel3Segments.csv
create mode 100644 modules/templates/ImagingLevel4.csv
create mode 100644 modules/templates/Individual.csv
create mode 100644 modules/templates/Model.csv
create mode 100644 modules/templates/NanoStringGeoMXROISegmentAnnotation.csv
create mode 100644 modules/templates/NanoStringGeoMxAuxiliaryFiles.csv
create mode 100644 modules/templates/NanoStringGeoMxDSPImaging.csv
create mode 100644 modules/templates/NanoStringGeoMxDSPImagingLevel2.csv
create mode 100644 modules/templates/NanoStringGeoMxDSPLevel1.csv
create mode 100644 modules/templates/NanoStringGeoMxDSPLevel2.csv
create mode 100644 modules/templates/NanoStringGeoMxDSPLevel3.csv
create mode 100644 modules/templates/PersonView.csv
create mode 100644 modules/templates/ProjectView.csv
create mode 100644 modules/templates/PublicationView.csv
create mode 100644 modules/templates/SequencingLevel1.csv
create mode 100644 modules/templates/SequencingLevel2.csv
create mode 100644 modules/templates/SequencingLevel3.csv
create mode 100644 modules/templates/Study.csv
create mode 100644 modules/templates/ToolView.csv
create mode 100644 modules/tool/template.csv
diff --git a/.gitignore b/.gitignore
index 8689633f..8b34aa8a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,6 +2,8 @@
.Rhistory
.Rapp.history
+venv/
+
# Session Data files
.RData
@@ -46,4 +48,4 @@ great_expectations/
**/**/.DS_Store
# MKDocs
-scripts/__pycache__
\ No newline at end of file
+scripts/__pycache__
diff --git a/README.md b/README.md
index 3e09cdfe..5ea88640 100644
--- a/README.md
+++ b/README.md
@@ -76,12 +76,12 @@ When a new valid value needs to be added to the data model:
CSV in `./modules`. If not:
2. Add the valid value in the "attribute" column of the applicable csv in
- the appropriate module folder. E.g. if a new tumor type needs to be added
- go to `tumorType.csv` and add the new term in the attribute column). Fill
- out the rest of the columns as completely as possible, this includes the
- description, the required column, parent column, source column, non-preferred
- terms column, the ontology identifier, url, NCIt Code, and any notes.
- Please make a note of who added it and the date.
+the appropriate module folder. E.g. if a new tumor type needs to be added
+go to `tumorType.csv` and add the new term in the attribute column). Fill
+out the rest of the columns as completely as possible, this includes the
+description, the required column, parent column, source column, non-preferred
+terms column, the ontology identifier, url, NCIt Code, and any notes.
+Please make a note of who added it and the date.
3. Be sure to look up any synonyms and add to the "non preferred terms"
column. This will make annotating easier in the future.
@@ -103,7 +103,86 @@ Thank you helping us continuously improve the MC2 Center data models! To
contribute, please read our [contributing guidelines] on the docs site.
+## Setup and Deployment Instructions
+
+To get started with this project, follow these steps:
+
+### 1. Install Python and Pip
+Ensure you have Python installed on your system. If you donβt have it installed:
+
+- Visit [Python's official website](https://www.python.org/) and download the latest stable release.
+- During installation, ensure you check the option to **Add Python to PATH**.
+
+Next, ensure that `pip` is also installed and configured. You can check by running:
+
+```bash
+python --version
+pip --version
+```
+
+If `pip` is missing, you can install it by downloading and running `get-pip.py` from [pip's official site](https://pip.pypa.io/en/stable/installation/).
+
+### 2. Set Up a Virtual Environment
+Create a virtual environment to isolate dependencies for this project.
+
+```bash
+python -m venv venv
+```
+
+This command creates a virtual environment named `venv` in your project directory.
+
+Activate the virtual environment:
+
+- On macOS/Linux:
+ ```bash
+ source venv/bin/activate
+ ```
+- On Windows:
+ ```cmd
+ venv\Scripts\activate
+ ```
+
+Once activated, your terminal prompt should show the environment name (`venv`).
+
+### 3. Install Dependencies
+With the virtual environment activated, install the necessary packages:
+
+```bash
+pip install mkdocs
+pip install mkdocs-material
+pip install mkdocs-table-reader-plugin
+```
+
+### 4. Preview the Documentation Site
+Run the following command to start a local server and preview the documentation site:
+
+```bash
+mkdocs serve
+```
+
+Open the displayed URL (usually `http://127.0.0.1:8000/`) in your browser to view the site.
+
+### 5. Submit Built Pages to GitHub
+To publish the documentation site on GitHub Pages, follow these steps:
+
+1. Build the static site files:
+ ```bash
+ mkdocs build
+ ```
+ This will generate a `site/` directory containing the built HTML files.
+
+2. Commit the built files to the `gh-pages` branch:
+ ```bash
+ git add site/
+ git commit -m "Build site for deployment"
+ git push origin `git subtree split --prefix site master`:gh-pages --force
+ ```
+
+3. Verify that the site is live at your GitHub Pages URL (e.g., `https://.github.io/`).
+
+
+
[Cancer Complexity Knowledge Portal]: https://cancercomplexity.synapse.org/
[open a ticket]: https://github.com/mc2-center/data-models/issues/new?assignees=aditigopalan&labels=bug&projects=&template=bug-report.md&title=%5Bbug%5D+
[Data Curator App (DCA)]: https://dca.app.sagebionetworks.org/
-[Contributing guidelines]: https://mc2-center.github.io/data-models/contributing/
+[Contributing guidelines]: https://mc2-center.github.io/data-models/contributing/
\ No newline at end of file
diff --git a/docs/assets/custom.css b/docs/assets/custom.css
new file mode 100644
index 00000000..6b439597
--- /dev/null
+++ b/docs/assets/custom.css
@@ -0,0 +1,10 @@
+a[title] {
+ position: relative;
+ color: #0056b3;
+ text-decoration: none;
+ }
+
+ a[title]:hover {
+ text-decoration: underline;
+ }
+
\ No newline at end of file
diff --git a/docs/home/tutorial.md b/docs/home/tutorial.md
new file mode 100644
index 00000000..83113f2e
--- /dev/null
+++ b/docs/home/tutorial.md
@@ -0,0 +1,43 @@
+
+ MC2 Center Data Models Explorer
+
+
+
+
+
+
+
+
+**Welcome!** π Explore metadata terms used by MC2 Center
+project by key, value, or descriptions.
+
+### How to Use
+
+1. β Use the search bar above for a specific term
+
+2. β Use the left navigation to explore all existing terms by category
+
+---
+
+### Next Steps
+
+To start contributing to your resources on the Cancer Complexity Knowledge
+Portal (CCKP), please read [our CCKP docs].
+
+---
+
+### Found an error?
+
+We are always looking for ways to improve our data models. If there is
+an issue with an existing term - or if you have a suggestion - [let us know]!
+
+Or, if you would like to contribute to the project directly, read our
+[contribution guidelines].
+
+!!!important
+ Changing existing terminology may result in breaking changes downstream,
+ so not all suggestions may be considered unless they are well-justified.
+
+[our CCKP docs]: https://help.cancercomplexity.synapse.org/doc/contributing-and-updating-data-in-the-portal
+[contribution guidelines]: https://mc2-center.github.io/data-models/contributing/
+[let us know]: https://github.com/mc2-center/data-models/issues/new?assignees=aditigopalan&labels=bug&projects=&template=bug-report.md&title=%5Bbug%5D+
\ No newline at end of file
diff --git a/docs/model/DataDSP.md b/docs/model/DataDSP.md
index 47de36ef..5bff4489 100644
--- a/docs/model/DataDSP.md
+++ b/docs/model/DataDSP.md
@@ -1,3 +1,33 @@
+This page outlines the attributes used to document and share dataset plans within MC2 Center-supported Synapse projects. The DataDSP model ensures that datasets are well-organized, traceable, and meet compliance requirements for data storage, sharing, and use.
+
+
+## Required Fields
+Mandatory fields like 'DSP Dataset Name,' 'DSP Dataset Assay,' 'DSP Dataset Species,' and 'DataDSP_id' are essential for uniquely identifying and categorizing datasets. These attributes ensure completeness and help users locate or reference datasets within repositories.
+
+## Download Template
+To streamline data entry, you can download the [DataDSP CSV template](https://github.com/mc2-center/data-models/raw/main/templates/DataDSP.csv).
+
+
+## Example Data Entry
+The table below includes sample values to demonstrate proper attribute usage.
+
+| **Attribute** | **Example Value** |
+|-----------------------------|-------------------------------------------------------------------------------------------------------------------------|
+| DSP Dataset Name | DSP_Dataset_Sales_Analysis_2020 |
+| DSP Dataset Alias | Sales_Data_2020 |
+| DSP Dataset Assay | Flow Cytometry |
+| DSP Dataset Species | Asian Elephant |
+| DSP Dataset File Formats | CSV, JSON |
+| DSP Planned Upload Date | 2022-12-01 |
+| DSP Dataset Grant Number | CA209971 |
+| DSP Dataset Description | "Preprocessed audio data for machine learning models, including frequency components, spectral analysis, etc." |
+| DSP Dataset Destination | "/home/user/datasets/dsp_output" |
+| DSP Dataset Url | https://www.example.com/dataset/dsp1234 |
+
+
+## Full Field Reference
+
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/DataDSP.csv)
{{ read_csv('sharingPlans/template.csv') }}
\ No newline at end of file
diff --git a/docs/model/dataset.md b/docs/model/dataset.md
index ba47c184..13ae7a38 100644
--- a/docs/model/dataset.md
+++ b/docs/model/dataset.md
@@ -1,3 +1,35 @@
+This section outlines how to create a valid dataset entry, focusing on required fields, usage instructions, and an example to guide users.
+
+## Required Fields
+Required fields ensure data accuracy, uniqueness, and discoverability. Fields such as 'Dataset Name', 'Dataset Alias', and 'DatasetView_id' must be filled out to submit an entry successfully.
+
+
+## Download Template
+You can download the [dataset entry template](https://github.com/mc2-center/data-models/raw/main/templates/DatasetView.csv), which includes all required fields, to streamline the data entry process.
+
+## Example Data Entry
+The table below includes sample values to demonstrate proper attribute usage.
+
+| **Attribute** | **Example Value** |
+|-------------------------|---------------------------------------------------------------------------------------------------------|
+| Dataset Name | U.S. Census Data 2019 |
+| Dataset Alias | Census_2019 |
+| Dataset Description | This dataset includes demographic and economic statistics collected in the U.S. Census 2019. |
+| Dataset Url | [https://www.census.gov/data.html](https://www.census.gov/data.html) |
+| Dataset Assay | None |
+| Dataset Species | Human |
+| Dataset Tumor Type | Not applicable |
+| Dataset Tissue | Not applicable |
+| Dataset File Formats | CSV, PDF |
+| Dataset Grant Number | CA209971 |
+| Dataset Pubmed Id | Not applicable |
+| Dataset View | Table |
+| DatasetView_id | DatasetView_12345 |
+
+
+
+## Full Field Reference
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/DatasetView.csv)
{{ read_csv('dataset/template.csv') }}
diff --git a/docs/model/education.md b/docs/model/education.md
index 59ee52d0..0c067171 100644
--- a/docs/model/education.md
+++ b/docs/model/education.md
@@ -1,3 +1,34 @@
+This section provides a simplified guide on how to create an educational resource entry by focusing on required fields, usage instructions, and an example.
+
+## Required Fields
+Certain fields, such as 'Resource Title', 'Resource Link', 'Resource Primary Audience', and 'EducationalResource_id', are mandatory to ensure that resources can be uniquely identified, accessed, and categorized effectively.
+
+## Download Template
+Use the [educational resource template](https://github.com/mc2-center/data-models/raw/main/templates/EducationalResource.csv) to streamline your data entry process. The template contains pre-defined required fields.
+
+## Example Data Entry
+The table below includes sample values to demonstrate proper attribute usage.
+
+| **Attribute** | **Example Value** |
+|----------------------------|-------------------------------------------------------------------------------------------------------------|
+| Educational Resource | Online Tutoring Platform |
+| Resource Title | Introduction to Biology |
+| Resource Link | [https://www.example.com/resource_page.html](https://www.example.com/resource_page.html) |
+| Resource Topic | Metabolism |
+| Resource Activity Type | Simulation |
+| Resource Primary Format | Video |
+| Resource Intended Use | Curriculum/Instruction |
+| Resource Primary Audience | Teacher |
+| Resource Educational Level | High School |
+| Resource Description | This comprehensive e-book offers insights into advanced Python programming techniques. |
+| Resource Origin Institution| Smithsonian Institution |
+| Resource Language | en |
+| Resource Contributors | John Smith, Jane Doe, XYZ Corporation |
+| Resource Grant Number | CA217655 |
+| EducationalResource_id | ER_4567 |
+
+## Full Field Reference
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/EducationalResource.csv)
{{ read_csv('education/template.csv') }}
diff --git a/docs/model/file.md b/docs/model/file.md
index b8ceb1c2..1fa5a816 100644
--- a/docs/model/file.md
+++ b/docs/model/file.md
@@ -1,3 +1,37 @@
+This section explains how to create a valid file entry, focusing on required fields, template usage, and an example for reference.
+
+## Required Fields
+Fields like 'File Url', 'File Assay', 'File Level', 'File Species', 'File Format', and 'File Alias' are mandatory to ensure each file is uniquely identifiable and can be properly categorized and retrieved.
+
+
+## Download Template
+Use the [file entry template](https://github.com/mc2-center/data-models/raw/main/templates/FileView.csv) to streamline your data entry process. The template contains pre-defined required fields.
+
+## Example Data Entry
+The table below includes sample values to demonstrate proper attribute usage.
+
+### Example Data Entry (Biology-Focused)
+
+| **Attribute** | **Example Value** |
+|--------------------------------------|-------------------------------------------------------------------------------------------------------------|
+| File Description | CSV file containing gene expression data for breast cancer samples |
+| File Design | CSV (Comma-separated values) |
+| File Url | [https://www.example.com/files/breast_cancer_expression_data.csv](https://www.example.com/files/breast_cancer_expression_data.csv) |
+| File Assay | RNA Sequencing |
+| File Level | Level 3: Processed summary data, like gene expression counts or coverage statistics (e.g., CSV files) |
+| File Species | Human |
+| File Tumor Type | Breast Carcinoma |
+| File Tissue | Breast |
+| File View | List View |
+| FileView_id | FileView_789012 |
+| File Format | CSV |
+| File Alias | Breast_Cancer_Gene_Expression.csv |
+
+
+## Full Field Reference
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/FileView.csv)
+
+
{{ read_csv('file/template.csv') }}
\ No newline at end of file
diff --git a/docs/model/grant.md b/docs/model/grant.md
index 091602e1..69d21977 100644
--- a/docs/model/grant.md
+++ b/docs/model/grant.md
@@ -1,3 +1,40 @@
+This section explains how to create a valid grant entry, focusing on required fields, template usage, and an example for reference.
+
+## Required Fields
+Fields like 'Grant Name', 'Grant Number', 'Grant Abstract', 'Grant Type', 'Grant Institution Name', 'Grant Investigator', 'Grant Consortium Name', 'GrantView_id', and 'Grant Start Date' are mandatory to ensure each grant is uniquely identifiable and properly categorized.
+
+
+
+## Download Template
+Use the [grant entry template](https://github.com/mc2-center/data-models/raw/main/templates/GrantView.csv) to streamline your data entry process. The template contains pre-defined required fields.
+
+## Example Data Entry
+The table below includes sample values to demonstrate proper attribute usage.
+
+| **Attribute** | **Example Value** |
+|----------------------------|-------------------------------------------------------------------------------------------------------------|
+| Grant Name | Research Grant for Cancer Genomics |
+| Grant Number | CA209971 |
+| Grant Abstract | This grant funds research into genetic mutations contributing to aggressive cancers, focusing on tumor sequencing and gene expression analysis. |
+| Grant Type | R37 |
+| Grant View | Public |
+| Grant Theme Name | Cancer Genomics, Precision Medicine |
+| Grant Institution Name | Stanford University |
+| Grant Institution Alias | Stanford |
+| Grant Investigator | Dr. John Smith |
+| Grant Consortium Name | HTAN |
+| GrantView_id | GV12345 |
+| Grant Synapse Team | Team: Project Management, Permission: Edit |
+| Grant Synapse Project | Synapse_ID: syn123456789, Grant_Name: NIH Brain Initiative Grant |
+| Grant Start Date | 2022-01-01 |
+| NIH RePORTER Link | [NIH Reporter Project Info](https://projectreporter.nih.gov/project_info_description.cfm?aid=9813521) |
+| Duration of Funding | 5 years |
+| Embargo End Date | 2023-12-31 |
+
+
+
+## Full Field Reference
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/GrantView.csv)
{{ read_csv('grant/template.csv') }}
diff --git a/docs/model/person.md b/docs/model/person.md
index fd2532b5..43d834ee 100644
--- a/docs/model/person.md
+++ b/docs/model/person.md
@@ -1,3 +1,39 @@
+This section explains how to create a valid person entry in the database, with a focus on required fields, template usage, and a practical example to ensure data consistency and accuracy.
+
+## Required Fields
+Certain fields like 'Name', 'Last Known Institution', 'Working Group Participation', 'Chair Roles', 'Consent For Portal Display', 'Portal Display', 'Person Grant Number', 'Person Consortium Name', and 'PersonView_id' are mandatory to ensure that each entry provides sufficient detail for identification and categorization.
+
+
+## Download Template
+Download the [person entry template](https://github.com/mc2-center/data-models/raw/main/templates/PersonView.csv) for streamlined data entry, ensuring that all required fields are filled out.
+
+## Example Data Entry
+The table below includes sample values to demonstrate proper attribute usage.
+
+| **Attribute** | **Example Value** |
+|-----------------------------|--------------------------------------------------------------------------------------------------------|
+| Name | Dr. Jane Smith |
+| Alternative Names | Jane Doe, J. Smith |
+| Email | janesmith@example.com |
+| Url | [Professional Profile](https://www.example.com/janesmith) |
+| Orcid Id | 0000-0002-1825-0097 |
+| Synapse Profile Id | SP98765432 |
+| Last Known Institution | Stanford University |
+| Working Group Participation | Cancer Metabolism, Genomic Data Integration |
+| Chair Roles | Steering Committee, Ethics Review Panel |
+| Consent For Portal Display | Yes |
+| Portal Display | TRUE |
+| Person View | Public Profile View |
+| Person Grant Number | CA202177, CA304599 |
+| Person Consortium Name | HTAN, PDMC |
+| Person Publications | 25700473, 31245678 |
+| Person Datasets | GSE12345, DOI:10.1000/sampledataset |
+| Person Tools | R Studio, Python, Jupyter Notebook |
+| Person Educational Resources | Advanced Cancer Research Training, NIH Data Science Workshop |
+| PersonView_id | PersonView_12345 |
+
+## Full Field Reference
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/PersonView.csv)
{{ read_csv('person/template.csv') }}
\ No newline at end of file
diff --git a/docs/model/publication.md b/docs/model/publication.md
index f6dfe68b..3eafb9bf 100644
--- a/docs/model/publication.md
+++ b/docs/model/publication.md
@@ -1,3 +1,39 @@
+This section outlines how to accurately document a publication entry, ensuring compliance with data model specifications. Use the template and example provided to maintain data accuracy and consistency.
+
+## Required Fields
+Fields such as 'Publication Journal', 'Pubmed Id', 'Pubmed Url', 'Publication Title', 'Publication Year', 'Publication Authors', 'Publication Abstract', 'Publication Assay', 'Publication Tumor Type', 'Publication Tissue', 'Publication Accessibility', 'Publication Grant Number', and 'PublicationView_id' are mandatory to ensure a comprehensive record for each publication.
+
+
+## Download Template
+Download the [publication entry template](https://github.com/mc2-center/data-models/raw/main/templates/PublicationView.csv) to streamline data entry and ensure required fields are completed.
+
+## Example Data Entry
+The table below includes sample values to demonstrate proper attribute usage.
+
+| **Attribute** | **Example Value** |
+|----------------------------|---------------------------------------------------------------------------------------------------------------------|
+| Publication Doi | [10.1016/j.cell.2016.02.013](https://doi.org/10.1016/j.cell.2016.02.013) |
+| Publication Journal | *Nature Medicine* |
+| Pubmed Id | 12345678 |
+| Pubmed Url | [PubMed Link](https://www.ncbi.nlm.nih.gov/pubmed/12345678) |
+| Publication Title | Role of Inflammatory Pathways in Cancer Progression |
+| Publication Year | 2023 |
+| Publication Keywords | Cancer Pathways, Inflammation, Tumor Microenvironment |
+| Publication Authors | Dr. Sarah Johnson, Dr. Michael Lee, Prof. Amanda Carter |
+| Publication Abstract | This study investigates inflammatory pathways and their impact on tumor progression and metastasis. |
+| Publication Assay | RNA Sequencing, In Vivo Bioluminescence |
+| Publication Tumor Type | Lung Cancer, Breast Cancer |
+| Publication Tissue | Lung, Breast |
+| Publication Accessibility | Open Access |
+| Publication View | Online |
+| Publication Grant Number | CA302123, CA301987 |
+| Publication Dataset Alias | GSE45678, DOI:10.1000/exampledataset |
+| PublicationView_id | PublicationView_45678 |
+
+
+
+## Full Field Reference
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/PublicationView.csv)
{{ read_csv('publication/template.csv') }}
\ No newline at end of file
diff --git a/docs/model/study.md b/docs/model/study.md
index e26b290a..9468bcf9 100644
--- a/docs/model/study.md
+++ b/docs/model/study.md
@@ -1,3 +1,35 @@
+This section provides detailed guidance for creating and maintaining a study entry in compliance with data model standards. It is essential to follow these specifications to ensure accuracy, consistency, and usability of study-related data.
+
+## Required Fields
+Certain attributes, such as 'Study Name', 'Study Description', 'Study Investigator', 'Study_id', 'Study Number of Participants', and 'Study De-identification Method Type', are marked as mandatory. Completing these fields ensures a comprehensive and standardized data entry.
+
+
+## Download Template
+To streamline the process, download the [study entry template](https://github.com/mc2-center/data-models/raw/main/templates/Study.csv) for standardized data entry.
+
+
+## Example Data Entry
+The table below includes sample values to demonstrate proper attribute usage.
+
+| **Attribute** | **Example Value** |
+|--------------------------------------|-----------------------------------------------------------------------------------------------------------------------|
+| Study | Biology |
+| Study Name | Effects of Diet and Exercise on Obesity |
+| Study Description | Analysis of Cardiovascular Response during Exercise |
+| Study Investigator | Dr. Jane Doe, PhD in Nutrition Science, University of Texas |
+| Study Reuse Statement | Data from this study may be reused under conditions of proper citation and ethical approval. |
+| Study_id | STUDY_2024_OBESITY_EXERCISE |
+| Study Number of Participants | 5000 |
+| Study De-identification Method Type | Manual |
+| Study De-identification Method Description | Personal identifiers such as names and dates were removed, and randomization techniques were applied. |
+| Study De-identification Method Software | Safe Harbor Privacy Software |
+| Study dbGaP Accession Id | phs000424.v7.p2 |
+| Study License | CC BY-NC 4.0 |
+| Study Data Use Codes | IRB, PUB, HMB |
+
+
+## Full Field Reference
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/Study.csv)
{{ read_csv('study/template.csv') }}
\ No newline at end of file
diff --git a/docs/model/tool.md b/docs/model/tool.md
index 5e23c1aa..39d90c67 100644
--- a/docs/model/tool.md
+++ b/docs/model/tool.md
@@ -1,3 +1,36 @@
+This section outlines the data attributes for registering and documenting a software tool in a structured and standardized manner. Each attribute in the table below has a distinct purpose, helping improve the usability, traceability, and functionality of the tool in research or technical environments.
+
+
+## Required Attributes
+Mandatory attributes such as 'Tool Name', 'Tool Description', 'Tool Entity Role', 'Tool Entity Type', 'Tool Release Date', and others are necessary for completeness and usability. These attributes provide essential data points for tool identification, description, and functionality.
+
+
+## Download Template
+You can download the [ToolView CSV template](https://github.com/mc2-center/data-models/raw/main/templates/ToolView.csv) to streamline data entry.
+
+
+## Example Data Entry
+The table below includes sample values to demonstrate proper attribute usage.
+
+| **Attribute** | **Example Value** |
+|-------------------------------|-----------------------------------------------------------------------------------------------------------------------|
+| Tool Name | Adobe Photoshop |
+| Tool Description | "A photo editing tool with advanced image manipulation features, supporting multiple file formats and layers." |
+| Tool Release Date | January 5, 2022 |
+| Tool Entity Role | Developer, Maintainer |
+| Tool Entity Type | Organization |
+| Tool Input Data | DNA Sequence |
+| Tool Output Data | Gene ID (NCBI): NM_001282392.1 |
+| Tool Grant Number | CA209975 |
+| Tool Documentation Url | https://docs.example.com/tool-guide.html |
+| Tool Operating System | Windows, MacOS |
+| Tool Version | 3.2.1 |
+| Tool View | Detail View |
+| Tool Pubmed Id | 26760201 |
+| Tool License | Apache-2.0 |
+
+## Full Field Reference
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/ToolView.csv)
{{ read_csv('tool/template.csv') }}
diff --git a/docs/valid_values/file.md b/docs/valid_values/file.md
index 641ae514..4feefc26 100644
--- a/docs/valid_values/file.md
+++ b/docs/valid_values/file.md
@@ -4,7 +4,7 @@ List of standard terms for the [File Data Model](../model/file.md).
-{{ read_csv('shared/processLevel.csv', header=0, names=['Valid Value','Description'], usecols=['Valid Value','Description'], tablefmt='html') }}
+{{ read_csv('file/processLevel.csv', header=0, names=['Valid Value','Description'], usecols=['Valid Value','Description'], tablefmt='html') }}
diff --git a/docs/valid_values/sharingPlans.md b/docs/valid_values/sharingPlans.md
index c0d91354..e8fcac27 100644
--- a/docs/valid_values/sharingPlans.md
+++ b/docs/valid_values/sharingPlans.md
@@ -39,7 +39,7 @@ List of standard terms for the [Dataset Sharing Plan Model](../model/DataDSP.md)
-{{ read_csv('shared/processLevel.csv', header=0, names=['Valid Value','Description'], usecols=['Valid Value','Description'], tablefmt='html') }}
+{{ read_csv('file/processLevel.csv', header=0, names=['Valid Value','Description'], usecols=['Valid Value','Description'], tablefmt='html') }}
diff --git a/mkdocs.yml b/mkdocs.yml
index 77d91ca6..0650c485 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -9,7 +9,9 @@ repo_name: data-models
# Navigation
nav:
- - Home: index.md
+ - Home:
+ - index.md
+ - home/tutorial.md
- Data Models:
- Dataset Data Model: model/dataset.md
- Dataset Sharing Plan: model/DataDSP.md
@@ -78,6 +80,9 @@ plugins:
hooks:
- scripts/hooks.py
+extra_css:
+ - assets/custom.css
+
markdown_extensions:
- admonition
- pymdownx.details
diff --git a/modules/dataset/annotationProperty.csv b/modules/dataset/annotationProperty.csv
index 1c98a06b..31c3a686 100644
--- a/modules/dataset/annotationProperty.csv
+++ b/modules/dataset/annotationProperty.csv
@@ -1,15 +1,15 @@
-Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules
-Dataset Name,Name of the dataset,,,TRUE,,,,,
-Dataset Alias,"Alias of the dataset. Must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters.",,,TRUE,,,,,unique
-Dataset Description,Description of the dataset.,,,FALSE,,,,,
-Dataset Design,The overall design of the dataset.,,,FALSE,,,,,
-Dataset Url,The url of where the dataset is stored.,,,TRUE,,,,,url
-Dataset Assay,"The assay the dataset is representative of. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,TRUE,,,,,list like
-Dataset Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,TRUE,,,,,list like
-Dataset Tumor Type,"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,FALSE,,,,,list like
-Dataset Tissue,"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,FALSE,,,,,list like
-Dataset File Formats,"A list of file formats associated with the dataset. Multiple values permitted, comma separated.","AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,FALSE,,,,,list like
-Dataset View,The denormalized manifest for dataset submission.,,"Component, DatasetView_id, Study Key, PublicationView Key, Dataset Name, Dataset Alias, Dataset Description, Dataset Design, Dataset Assay, Dataset Species, Dataset Tumor Type, Dataset Tissue, Dataset Url, Dataset File Formats, Data Use Codes",FALSE,,,Study,,
-Dataset Grant Number,"Grant number(s) associated with the dataset's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,TRUE,,,,,list like
-Dataset Pubmed Id,"The PubMed identifer(s) associated with the development of the dataset. Multiple values permitted, comma separated.",,,FALSE,,,,,list like
-DatasetView_id,A unique primary key that enables record updates using schematic.,,,TRUE,,,,,unique
+Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
+Dataset Name,Name of the dataset,,,True,,,,,,"""U.S. Census Data 2019"""
+Dataset Alias,"Alias of the dataset. Must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters.",,,True,,,,,unique,"""Financial Quarter 1 Sales Data 2020"""
+Dataset Description,Description of the dataset.,,,False,,,,,,"This dataset aggregates Netflix programming data from 2019 to 2021. It includes information on the titles of shows/movies, premier date, genres, duration, and audience rating. The data is derived from publicly available information and directly from Netflix. This dataset can be used for programming analysis, viewing trend investigations, and content recommendation research. Each row represents a unique title, and there are no missing values."
+Dataset Design,The overall design of the dataset.,,,False,,,,,,"'Cross-sectional', 'Time-series', 'Pooled Cross-sections', 'Panel data'"
+Dataset Url,The url of where the dataset is stored.,,,True,,,,,url,https://www.kaggle.com/uciml/iris
+Dataset Assay,"The assay the dataset is representative of. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,list like,Dataset Assay: 16S Ribosomal Gene Sequencing Assay
+Dataset Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,True,,,,,list like,Dataset Species: Cat
+Dataset Tumor Type,"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,False,,,,,list like,Dataset Tumor Type: Glioblastoma
+Dataset Tissue,"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,False,,,,,list like,Dataset Tissue: Kidney
+Dataset File Formats,"A list of file formats associated with the dataset. Multiple values permitted, comma separated.","AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,False,,,,,list like,"""Dataset File Formats: AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS."""
+Dataset View,The denormalized manifest for dataset submission.,,"Component, DatasetView_id, Study Key, PublicationView Key, Dataset Name, Dataset Alias, Dataset Description, Dataset Design, Dataset Assay, Dataset Species, Dataset Tumor Type, Dataset Tissue, Dataset Url, Dataset File Formats, Data Use Codes",False,,,Study,,,"Table, Graph, Spreadsheet, List, Map, Card"
+Dataset Grant Number,"Grant number(s) associated with the dataset's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,CA209971
+Dataset Pubmed Id,"The PubMed identifer(s) associated with the development of the dataset. Multiple values permitted, comma separated.",,,False,,,,,list like,25700473
+DatasetView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,"""DatasetView_12345"""
diff --git a/modules/dataset/template.csv b/modules/dataset/template.csv
new file mode 100644
index 00000000..c893cce0
--- /dev/null
+++ b/modules/dataset/template.csv
@@ -0,0 +1,15 @@
+Attribute,Description,Required,Validation Rules,Examples
+Dataset Name,Name of the dataset,True,_None_,"""U.S. Census Data 2019"""
+Dataset Alias,"Alias of the dataset. Must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters.",True,unique,"""Financial Quarter 1 Sales Data 2020"""
+Dataset Description,Description of the dataset.,False,_None_,"This dataset aggregates Netflix programming data from 2019 to 2021. It includes information on the titles of shows/movies, premier date, genres, duration, and audience rating. The data is derived from publicly available information and directly from Netflix. This dataset can be used for programming analysis, viewing trend investigations, and content recommendation research. Each row represents a unique title, and there are no missing values."
+Dataset Design,The overall design of the dataset.,False,_None_,"'Cross-sectional', 'Time-series', 'Pooled Cross-sections', 'Panel data'"
+Dataset Url,The url of where the dataset is stored.,True,url,https://www.kaggle.com/uciml/iris
+[Dataset Assay](../valid_values/dataset.md#attribute-dataset-assay),"The assay the dataset is representative of. Multiple values permitted, comma separated.",True,list like,Dataset Assay: 16S Ribosomal Gene Sequencing Assay
+[Dataset Species](../valid_values/dataset.md#attribute-dataset-species),"The species the data was collected on. Multiple values permitted, comma separated.",True,list like,Dataset Species: Cat
+[Dataset Tumor Type](../valid_values/dataset.md#attribute-dataset-tumor-type),"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.",False,list like,Dataset Tumor Type: Glioblastoma
+[Dataset Tissue](../valid_values/dataset.md#attribute-dataset-tissue),"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.",False,list like,Dataset Tissue: Kidney
+[Dataset File Formats](../valid_values/dataset.md#attribute-dataset-file-formats),"A list of file formats associated with the dataset. Multiple values permitted, comma separated.",False,list like,"""Dataset File Formats: AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS."""
+Dataset View,The denormalized manifest for dataset submission.,False,_None_,"Table, Graph, Spreadsheet, List, Map, Card"
+[Dataset Grant Number](../valid_values/dataset.md#attribute-dataset-grant-number),"Grant number(s) associated with the dataset's development. Multiple values permitted, comma separated.",True,list like,CA209971
+Dataset Pubmed Id,"The PubMed identifer(s) associated with the development of the dataset. Multiple values permitted, comma separated.",False,list like,25700473
+DatasetView_id,A unique primary key that enables record updates using schematic.,True,unique,"""DatasetView_12345"""
diff --git a/modules/education/annotationProperty.csv b/modules/education/annotationProperty.csv
index cf30d465..92ba9250 100644
--- a/modules/education/annotationProperty.csv
+++ b/modules/education/annotationProperty.csv
@@ -1,25 +1,26 @@
-Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules
-Educational Resource,Manifest for describing educational resources.,,"Component, EducationalResource_id, Resource Title, Resource Link, Resource Topic, Resource Activity Type, Resource Primary Format, Resource Intended Use, Resource Primary Audience, Resource Educational Level, Resource Description, Resource Origin Institution, Resource Language, Resource Contributors, Resource Grant Number, Resource Secondary Topic, Resource License, Resource Use Requirements, Resource Alias, Resource Internal Identifier, Resource Media Accessibility, Resource Access Hazard, Resource Dataset Alias, Resource Tool Link",FALSE,,,Grant View,,
-Resource Title,Title of the item.,,,TRUE,,,,OER,str
-Resource Link,The URL or DOI that links to the item.,,,TRUE,,,,OER,url
-Resource Topic,"General topic or research context of the item. If 'other' is selected, please provide additional topics in the 'Resource Secondary Topic' field. Multiple values should be provided as a comma separated list.","Computational Model Development, Computational Resource, Diversity/Equity/Inclusion, Drug Resistance/Sensitivity, Epigenetics, Evolution, Experimental Model Development, Heterogeneity, Immunotherapy, Mechano-genetics, Mechano-resistance, Metabolism, Metastasis, Method/Assay Development, Microenvironment, Oncogenic Stress, Other, Outreach, Platform Development, Training Material, Tumor Progression, Tumor-Immune, Computer Science, Environmental Science, Information Science, Educational Technology, Anatomy/Physiology, Biology, Ecology, Genetics, Nutrition, Measurement and Data, Statistics and Probability, Chemistry, Physics, Systems Biology, Patient Advocacy",,TRUE,,,,OER,list like
-Resource Activity Type,The type(s) of activities for which the item is intended to be used. Multiple values should be provided as a comma separated list.,"Activity/Lab, Assessment, Case Study, Data Set, Diagram/Illustration, Full Course, Game, Homework/Assignment, Interactive, Lecture, Lecture Notes, Lesson, Lesson Plan, Module, Primary Source, Reading, Simulation, Student Guide, Syllabus, Teaching/Learning Strategy, Textbook, Unit of Study",,TRUE,,,,OER,list like
-Resource Primary Format,"The media type(s) of the item (video, audio, text, etc.) Multiple values should be provided as a comma separated list.","Audio, Braille/BNF, Downloadable docs, eBook, Graphics/Photos, Interactive, Mobile, Text/HTML, Video, Other",,TRUE,,,,OER,list like
-Resource Intended Use,The purpose of the material for education. Multiple values should be provided as a comma separated list.,"Curriculum/Instruction, Assessment, Professional Development, Other",,TRUE,,,,OER,list like
-Resource Primary Audience,The intended end user audience for the resource. Multiple values should be provided as a comma separated list.,"Student, Teacher, Administrator, Parent, Professor, General Audience, Other",,TRUE,,,,OER,list like
-Resource Educational Level,"Educational context (pre-school, lower-primary, upper-primaryβ¦) in which the item was intended to be used. Multiple values should be provided as a comma separated list.","Preschool, Lower Primary, Upper Primary, Middle School, High School, Community College / Lower Division, College / Upper Division, Graduate / Profession, Career / Technical, Adult Education",,TRUE,,,,OER,list like
-Resource Description,Abstract or summary of the item.,,,TRUE,,,,OER,str
-Resource Origin Institution,Institution(s) of origin for this item. Multiple values should be provided as a comma separated list.,,,TRUE,,,,OER,list like
-Resource Language,Language of the item (not of the metadata). Multiple values should be provided as a comma separated list.,"aa, ab, ae, af, ak, am, an, ar, as, av, ay, az, ba, be, bg, bh, bi, bm, bn, bo, br, bs, ca, ca, ce, ch, co, cr, cs, cu, cv, cy, da, de, dv, dv, dz, ee, el, en, eo, es, et, eu, fa, ff, fi, fj, fo, fr, fy, ga, gd, gl, gn, gu, gv, ha, he, hi, ho, hr, ht, hu, hy, hz, ia, id, ie, ig, ii, ik, io, is, it, iu, ja, jv, ka, kg, ki, kj, kk, kl, km, kn, ko, kr, ks, ku, kv, kw, ky, la, lb, lg, li, ln, lo, lt, lu, lv, mg, mh, mi, mk, ml, mn, mr, ms, mt, my, na, nb, nd, ne, ng, nl, nn, no, nr, nv, ny, oc, oj, om, or, os, pa, pi, pl, ps, pt, qu, rm, rn, ro, ru, rw, sa, sc, sd, se, sg, si, sk, sl, sm, sn, so, sq, sr, ss, st, su, sv, sw, ta, te, tg, th, ti, tk, tl, tn, to, tr, ts, tt, tw, ty, ug, uk, ur, uz, ve, vi, vo, wa, wo, xh, yi, yo, za, zh, zu",,TRUE,,,,OER,list like::regex search [a-z]{2}
-Resource Contributors,The name(s) of the contributor(s) to the item. Multiple contributor names should be provided as a comma-separated list.,,,TRUE,,,,OER,list like
-Resource Grant Number,"The grant number(s) associated with the contributor(s) of the item. If no grant number listed is applicable, please select 'Affiliated/Non-Grant Associated'. Multiple values should be provided as a comma separated list.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,TRUE,,,,MC2/grant,list like
-Resource Secondary Topic,"Additional topics or keywords to describe the content of the item, in addition to the primary topic. Multiple values should be provided as a comma-separated list.",,,FALSE,,,,OER,list like
-Resource License,"The name of the license applied to the item by the contributor(s), if applicable. Multiple values should be provided as a comma separated list.","AAL, ADSL, AFL-1.1, AFL-1.2, AFL-2.0, AFL-2.1, AFL-3.0, AGPL-1.0, AGPL-3.0, AMDPLPA, AML, AMPAS, ANTLR-PD, APAFML, APL-1.0, APSL-1.0, APSL-1.1, APSL-1.2, APSL-2.0, Abstyles, Adobe-2006, Adobe-Glyph, Afmparse, Aladdin, Apache-1.0, Apache-1.1, Apache-2.0, Artistic-1.0, Artistic-1.0-Perl, Artistic-1.0-cl8, Artistic-2.0, BSD-2-Clause, BSD-2-Clause-FreeBSD, BSD-2-Clause-NetBSD, BSD-3-Clause, BSD-3-Clause-Attribution, BSD-3-Clause-Clear, BSD-3-Clause-LBNL, BSD-3-Clause-No-Nuclear-License, BSD-3-Clause-No-Nuclear-License-2014, BSD-3-Clause-No-Nuclear-Warranty, BSD-4-Clause, BSD-4-Clause-UC, BSD-Protection, BSD-Source-Code, BSD-style, BSL-1.0, Bahyph, Barr, Beerware, BitTorrent-1.0, BitTorrent-1.1, Borceux, CATOSL-1.1, CC-BY-1.0, CC-BY-2.0, CC-BY-2.5, CC-BY-3.0, CC-BY-4.0, CC-BY-NC-1.0, CC-BY-NC-2.0, CC-BY-NC-2.5, CC-BY-NC-3.0, CC-BY-NC-4.0, CC-BY-NC-ND-1.0, CC-BY-NC-ND-2.0, CC-BY-NC-ND-2.5, CC-BY-NC-ND-3.0, CC-BY-NC-ND-4.0, CC-BY-NC-SA-1.0, CC-BY-NC-SA-2.0, CC-BY-NC-SA-2.5, CC-BY-NC-SA-3.0, CC-BY-NC-SA-4.0, CC-BY-ND-1.0, CC-BY-ND-2.0, CC-BY-ND-2.5, CC-BY-ND-3.0, CC-BY-ND-4.0, CC-BY-SA-1.0, CC-BY-SA-2.0, CC-BY-SA-2.5, CC-BY-SA-3.0, CC-BY-SA-4.0, CC0-1.0, CDDL-1.0, CDDL-1.1, CECILL-1.0, CECILL-1.1, CECILL-2.0, CECILL-2.1, CECILL-B, CECILL-C, CNRI-Jython, CNRI-Python, CNRI-Python-GPL-Compatible, CPAL-1.0, CPL-1.0, CPOL-1.02, CUA-OPL-1.0, Caldera, ClArtistic, Condor-1.1, Crossword, CrystalStacker, Cube, D-FSL-1.0, DOC, DSDP, Dotseqn, ECL-1.0, ECL-2.0, EFL-1.0, EFL-2.0, EPL-1.0, EUDatagrid, EUPL-1.0, EUPL-1.1, Entessa, ErlPL-1.1, Eurosym, FSFAP, FSFUL, FSFULLR, FTL, Fair, Frameworx-1.0, FreeImage, Freeware, GFDL-1.1, GFDL-1.2, GFDL-1.3, GL2PS, GPL-1.0, GPL-2.0, GPL-3.0, Giftware, Glide, Glulxe, HPND, HaskellReport, IBM-pibs, ICU, IJG, IPA, IPL-1.0, ISC, ImageMagick, Imlib2, Info-ZIP, Intel, Intel-ACPI, Interbase-1.0, JSON, JasPer-2.0, LAL-1.2, LAL-1.3, LGPL-2.0, LGPL-2.1, LGPL-3.0, LGPLLR, LPL-1.0, LPL-1.02, LPPL-1.0, LPPL-1.1, LPPL-1.2, LPPL-1.3a, LPPL-1.3c, Latex2e, Leptonica, LiLiQ-P-1.1, LiLiQ-R-1.1, LiLiQ-Rplus-1.1, Libpng, MIT, MIT-CMU, MIT-advertising, MIT-enna, MIT-feh, MITNFA, MPL-1.0, MPL-1.1, MPL-2.0, MPL-2.0-no-copyleft-exception, MS-PL, MS-RL, MTLL, MakeIndex, MirOS, Motosoto, Multics, Mup, NASA-1.3, NBPL-1.0, NCSA, NGPL, NLOD-1.0, NLPL, NOSL, NPL-1.0, NPL-1.1, NPOSL-3.0, NRL, NTP, Naumen, NetCDF, Newsletr, Nokia, Not licensed, Noweb, Nunit, OCCT-PL, OCLC-2.0, ODbL-1.0, OFL-1.0, OFL-1.1, OGTSL, OLDAP-1.1, OLDAP-1.2, OLDAP-1.3, OLDAP-1.4, OLDAP-2.0, OLDAP-2.0.1, OLDAP-2.1, OLDAP-2.2, OLDAP-2.2.1, OLDAP-2.2.2, OLDAP-2.3, OLDAP-2.4, OLDAP-2.5, OLDAP-2.6, OLDAP-2.7, OLDAP-2.8, OML, OPL-1.0, OSET-PL-2.1, OSL-1.0, OSL-1.1, OSL-2.0, OSL-2.1, OSL-3.0, OpenSSL, Other, PDDL-1.0, PHP-3.0, PHP-3.01, Plexus, PostgreSQL, Proprietary, Python-2.0, QPL-1.0, Qhull, RHeCos-1.1, RPL-1.1, RPL-1.5, RPSL-1.0, RSA-MD, RSCPL, Rdisc, Ruby, SAX-PD, SCEA, SGI-B-1.0, SGI-B-1.1, SGI-B-2.0, SISSL, SISSL-1.2, SMLNJ, SMPPL, SNIA, SPL-1.0, SWL, Saxpath, Sendmail, SimPL-2.0, Sleepycat, Spencer-86, Spencer-94, Spencer-99, SugarCRM-1.1.3, TCL, TMate, TORQUE-1.1, TOSL, UPL-1.0, Unicode-TOU, Unlicense, VOSTROM, VSL-1.0, Vim, W3C, W3C-19980720, WTFPL, Watcom-1.0, Wsuipa, X11, XFree86-1.1, XSkat, Xerox, Xnet, YPL-1.0, YPL-1.1, ZPL-1.1, ZPL-2.0, ZPL-2.1, Zed, Zend-2.0, Zimbra-1.3, Zimbra-1.4, Zlib, bzip2-1.0.5, bzip2-1.0.6, curl, diffmark, dvipdfm, eGenix, gSOAP-1.3b, gnuplot, iMatix, libtiff, mpich2, psfrag, psutils, xinetd, xpp, zlib-acknowledgement",,FALSE,,,,OER,list like
-Resource Use Requirements,"A list of materials, hardware, software, computing power, and network requirements that the end user would need to satisfy before using the resource, if applicable. Multiple values should be provided as a comma separated list.",,,FALSE,,,,OER,str
-Resource Alias,"A unique identifier (DOI, Synapse ID) for the item, if it exists.",,,FALSE,,,,OER,unique
-Resource Internal Identifier,"The institution-specific ID for the item, if applicable. May be non-unique. Multiple values should be provided as a comma separated list.",,,FALSE,,,,OER,list like
-Resource Media Accessibility,"Accessibility features (Alternative Text, Audio Description, etc.) incorporated into the item. Multiple values should be provided as a comma separated list.","Alternative Text, Audio Description, Braille, Captions, ChemML, Described Math, Display Transformability, Haptic, High Contrast, Large Print, Latex, Long Description, MathML, Nemeth Braille, Sign Language, Structural Navigation, Tactile Graphics, Text Transcript",,FALSE,,,,OER,list like
-Resource Access Hazard,"Sensory hazards (Flashing, Motion, etc.) applicable to the item. Multiple values should be provided as a comma separated list.","Flashing, Motion, Simulation, Sound",,FALSE,,,,OER,list like
-Resource Dataset Alias,"URL or persistent identifier (DOI, Synapse ID) for any dataset(s) that is intended to be used with the item. Multiple values should be provided as a comma separated list.",,,FALSE,,,,MC2/dataset,list like
-Resource Tool Link,"URL or persistent identifier (DOI, Synapse ID) for any software or tool that is intended to be used with the item. Multiple values should be provided as a comma separated list.",,,FALSE,,,,MC2/tool,list like
-EducationalResource_id,A unique primary key that enables record updates using schematic.,,,TRUE,,,,,unique
+Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
+Educational Resource,Manifest for describing educational resources.,,"Component, EducationalResource_id, Resource Title, Resource Link, Resource Topic, Resource Activity Type, Resource Primary Format, Resource Intended Use, Resource Primary Audience, Resource Educational Level, Resource Description, Resource Origin Institution, Resource Language, Resource Contributors, Resource Grant Number, Resource Secondary Topic, Resource License, Resource Use Requirements, Resource Alias, Resource Internal Identifier, Resource Media Accessibility, Resource Access Hazard, Resource Dataset Alias, Resource Tool Link",False,,,Grant View,,,"""Online Tutoring Platform"""
+Resource Title,Title of the item.,,,True,,,,OER,str,"""Introduction to Biology"""
+Resource Link,The URL or DOI that links to the item.,,,True,,,,OER,url,https://www.example.com/resource_page.html
+Resource Topic,"General topic or research context of the item. If 'other' is selected, please provide additional topics in the 'Resource Secondary Topic' field. Multiple values should be provided as a comma separated list.","Computational Model Development, Computational Resource, Diversity/Equity/Inclusion, Drug Resistance/Sensitivity, Epigenetics, Evolution, Experimental Model Development, Heterogeneity, Immunotherapy, Mechano-genetics, Mechano-resistance, Metabolism, Metastasis, Method/Assay Development, Microenvironment, Oncogenic Stress, Other, Outreach, Platform Development, Training Material, Tumor Progression, Tumor-Immune, Computer Science, Environmental Science, Information Science, Educational Technology, Anatomy/Physiology, Biology, Ecology, Genetics, Nutrition, Measurement and Data, Statistics and Probability, Chemistry, Physics, Systems Biology, Patient Advocacy",,True,,,,OER,list like,Resource Topic: Metabolism
+Resource Activity Type,The type(s) of activities for which the item is intended to be used. Multiple values should be provided as a comma separated list.,"Activity/Lab, Assessment, Case Study, Data Set, Diagram/Illustration, Full Course, Game, Homework/Assignment, Interactive, Lecture, Lecture Notes, Lesson, Lesson Plan, Module, Primary Source, Reading, Simulation, Student Guide, Syllabus, Teaching/Learning Strategy, Textbook, Unit of Study",,True,,,,OER,list like,"Attribute: Resource Activity Type
+Example: Simulation"
+Resource Primary Format,"The media type(s) of the item (video, audio, text, etc.) Multiple values should be provided as a comma separated list.","Audio, Braille/BNF, Downloadable docs, eBook, Graphics/Photos, Interactive, Mobile, Text/HTML, Video, Other",,True,,,,OER,list like,Resource Primary Format: Video
+Resource Intended Use,The purpose of the material for education. Multiple values should be provided as a comma separated list.,"Curriculum/Instruction, Assessment, Professional Development, Other",,True,,,,OER,list like,"""Resource Intended Use: Curriculum/Instruction"""
+Resource Primary Audience,The intended end user audience for the resource. Multiple values should be provided as a comma separated list.,"Student, Teacher, Administrator, Parent, Professor, General Audience, Other",,True,,,,OER,list like,Resource Primary Audience: Teacher
+Resource Educational Level,"Educational context (pre-school, lower-primary, upper-primaryβ¦) in which the item was intended to be used. Multiple values should be provided as a comma separated list.","Preschool, Lower Primary, Upper Primary, Middle School, High School, Community College / Lower Division, College / Upper Division, Graduate / Profession, Career / Technical, Adult Education",,True,,,,OER,list like,Resource Educational Level: High School
+Resource Description,Abstract or summary of the item.,,,True,,,,OER,str,"""This comprehensive e-book offering insights into advanced Python programming techniques is available for download. It covers numerous topics including object-oriented programming, data structures, algorithms, decorators, generators, exception handling, testing, and debugging."""
+Resource Origin Institution,Institution(s) of origin for this item. Multiple values should be provided as a comma separated list.,,,True,,,,OER,list like,Smithsonian Institution
+Resource Language,Language of the item (not of the metadata). Multiple values should be provided as a comma separated list.,"aa, ab, ae, af, ak, am, an, ar, as, av, ay, az, ba, be, bg, bh, bi, bm, bn, bo, br, bs, ca, ca, ce, ch, co, cr, cs, cu, cv, cy, da, de, dv, dv, dz, ee, el, en, eo, es, et, eu, fa, ff, fi, fj, fo, fr, fy, ga, gd, gl, gn, gu, gv, ha, he, hi, ho, hr, ht, hu, hy, hz, ia, id, ie, ig, ii, ik, io, is, it, iu, ja, jv, ka, kg, ki, kj, kk, kl, km, kn, ko, kr, ks, ku, kv, kw, ky, la, lb, lg, li, ln, lo, lt, lu, lv, mg, mh, mi, mk, ml, mn, mr, ms, mt, my, na, nb, nd, ne, ng, nl, nn, no, nr, nv, ny, oc, oj, om, or, os, pa, pi, pl, ps, pt, qu, rm, rn, ro, ru, rw, sa, sc, sd, se, sg, si, sk, sl, sm, sn, so, sq, sr, ss, st, su, sv, sw, ta, te, tg, th, ti, tk, tl, tn, to, tr, ts, tt, tw, ty, ug, uk, ur, uz, ve, vi, vo, wa, wo, xh, yi, yo, za, zh, zu",,True,,,,OER,list like::regex search [a-z]{2},Resource Language: en
+Resource Contributors,The name(s) of the contributor(s) to the item. Multiple contributor names should be provided as a comma-separated list.,,,True,,,,OER,list like,"John Smith, Jane Doe, XYZ Corporation"
+Resource Grant Number,"The grant number(s) associated with the contributor(s) of the item. If no grant number listed is applicable, please select 'Affiliated/Non-Grant Associated'. Multiple values should be provided as a comma separated list.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,MC2/grant,list like,Resource Grant Number: CA217655
+Resource Secondary Topic,"Additional topics or keywords to describe the content of the item, in addition to the primary topic. Multiple values should be provided as a comma-separated list.",,,False,,,,OER,list like,Climate Change Effects
+Resource License,"The name of the license applied to the item by the contributor(s), if applicable. Multiple values should be provided as a comma separated list.","AAL, ADSL, AFL-1.1, AFL-1.2, AFL-2.0, AFL-2.1, AFL-3.0, AGPL-1.0, AGPL-3.0, AMDPLPA, AML, AMPAS, ANTLR-PD, APAFML, APL-1.0, APSL-1.0, APSL-1.1, APSL-1.2, APSL-2.0, Abstyles, Adobe-2006, Adobe-Glyph, Afmparse, Aladdin, Apache-1.0, Apache-1.1, Apache-2.0, Artistic-1.0, Artistic-1.0-Perl, Artistic-1.0-cl8, Artistic-2.0, BSD-2-Clause, BSD-2-Clause-FreeBSD, BSD-2-Clause-NetBSD, BSD-3-Clause, BSD-3-Clause-Attribution, BSD-3-Clause-Clear, BSD-3-Clause-LBNL, BSD-3-Clause-No-Nuclear-License, BSD-3-Clause-No-Nuclear-License-2014, BSD-3-Clause-No-Nuclear-Warranty, BSD-4-Clause, BSD-4-Clause-UC, BSD-Protection, BSD-Source-Code, BSD-style, BSL-1.0, Bahyph, Barr, Beerware, BitTorrent-1.0, BitTorrent-1.1, Borceux, CATOSL-1.1, CC-BY-1.0, CC-BY-2.0, CC-BY-2.5, CC-BY-3.0, CC-BY-4.0, CC-BY-NC-1.0, CC-BY-NC-2.0, CC-BY-NC-2.5, CC-BY-NC-3.0, CC-BY-NC-4.0, CC-BY-NC-ND-1.0, CC-BY-NC-ND-2.0, CC-BY-NC-ND-2.5, CC-BY-NC-ND-3.0, CC-BY-NC-ND-4.0, CC-BY-NC-SA-1.0, CC-BY-NC-SA-2.0, CC-BY-NC-SA-2.5, CC-BY-NC-SA-3.0, CC-BY-NC-SA-4.0, CC-BY-ND-1.0, CC-BY-ND-2.0, CC-BY-ND-2.5, CC-BY-ND-3.0, CC-BY-ND-4.0, CC-BY-SA-1.0, CC-BY-SA-2.0, CC-BY-SA-2.5, CC-BY-SA-3.0, CC-BY-SA-4.0, CC0-1.0, CDDL-1.0, CDDL-1.1, CECILL-1.0, CECILL-1.1, CECILL-2.0, CECILL-2.1, CECILL-B, CECILL-C, CNRI-Jython, CNRI-Python, CNRI-Python-GPL-Compatible, CPAL-1.0, CPL-1.0, CPOL-1.02, CUA-OPL-1.0, Caldera, ClArtistic, Condor-1.1, Crossword, CrystalStacker, Cube, D-FSL-1.0, DOC, DSDP, Dotseqn, ECL-1.0, ECL-2.0, EFL-1.0, EFL-2.0, EPL-1.0, EUDatagrid, EUPL-1.0, EUPL-1.1, Entessa, ErlPL-1.1, Eurosym, FSFAP, FSFUL, FSFULLR, FTL, Fair, Frameworx-1.0, FreeImage, Freeware, GFDL-1.1, GFDL-1.2, GFDL-1.3, GL2PS, GPL-1.0, GPL-2.0, GPL-3.0, Giftware, Glide, Glulxe, HPND, HaskellReport, IBM-pibs, ICU, IJG, IPA, IPL-1.0, ISC, ImageMagick, Imlib2, Info-ZIP, Intel, Intel-ACPI, Interbase-1.0, JSON, JasPer-2.0, LAL-1.2, LAL-1.3, LGPL-2.0, LGPL-2.1, LGPL-3.0, LGPLLR, LPL-1.0, LPL-1.02, LPPL-1.0, LPPL-1.1, LPPL-1.2, LPPL-1.3a, LPPL-1.3c, Latex2e, Leptonica, LiLiQ-P-1.1, LiLiQ-R-1.1, LiLiQ-Rplus-1.1, Libpng, MIT, MIT-CMU, MIT-advertising, MIT-enna, MIT-feh, MITNFA, MPL-1.0, MPL-1.1, MPL-2.0, MPL-2.0-no-copyleft-exception, MS-PL, MS-RL, MTLL, MakeIndex, MirOS, Motosoto, Multics, Mup, NASA-1.3, NBPL-1.0, NCSA, NGPL, NLOD-1.0, NLPL, NOSL, NPL-1.0, NPL-1.1, NPOSL-3.0, NRL, NTP, Naumen, NetCDF, Newsletr, Nokia, Not licensed, Noweb, Nunit, OCCT-PL, OCLC-2.0, ODbL-1.0, OFL-1.0, OFL-1.1, OGTSL, OLDAP-1.1, OLDAP-1.2, OLDAP-1.3, OLDAP-1.4, OLDAP-2.0, OLDAP-2.0.1, OLDAP-2.1, OLDAP-2.2, OLDAP-2.2.1, OLDAP-2.2.2, OLDAP-2.3, OLDAP-2.4, OLDAP-2.5, OLDAP-2.6, OLDAP-2.7, OLDAP-2.8, OML, OPL-1.0, OSET-PL-2.1, OSL-1.0, OSL-1.1, OSL-2.0, OSL-2.1, OSL-3.0, OpenSSL, Other, PDDL-1.0, PHP-3.0, PHP-3.01, Plexus, PostgreSQL, Proprietary, Python-2.0, QPL-1.0, Qhull, RHeCos-1.1, RPL-1.1, RPL-1.5, RPSL-1.0, RSA-MD, RSCPL, Rdisc, Ruby, SAX-PD, SCEA, SGI-B-1.0, SGI-B-1.1, SGI-B-2.0, SISSL, SISSL-1.2, SMLNJ, SMPPL, SNIA, SPL-1.0, SWL, Saxpath, Sendmail, SimPL-2.0, Sleepycat, Spencer-86, Spencer-94, Spencer-99, SugarCRM-1.1.3, TCL, TMate, TORQUE-1.1, TOSL, UPL-1.0, Unicode-TOU, Unlicense, VOSTROM, VSL-1.0, Vim, W3C, W3C-19980720, WTFPL, Watcom-1.0, Wsuipa, X11, XFree86-1.1, XSkat, Xerox, Xnet, YPL-1.0, YPL-1.1, ZPL-1.1, ZPL-2.0, ZPL-2.1, Zed, Zend-2.0, Zimbra-1.3, Zimbra-1.4, Zlib, bzip2-1.0.5, bzip2-1.0.6, curl, diffmark, dvipdfm, eGenix, gSOAP-1.3b, gnuplot, iMatix, libtiff, mpich2, psfrag, psutils, xinetd, xpp, zlib-acknowledgement",,False,,,,OER,list like,Resource License: Apache-2.0
+Resource Use Requirements,"A list of materials, hardware, software, computing power, and network requirements that the end user would need to satisfy before using the resource, if applicable. Multiple values should be provided as a comma separated list.",,,False,,,,OER,str,The software application requires 2GB of RAM and 20GB of hard drive space. It also needs a graphic card supporting OpenGL 2.0. The system must run on Windows 10 or higher.
+Resource Alias,"A unique identifier (DOI, Synapse ID) for the item, if it exists.",,,False,,,,OER,unique,Sales_Database
+Resource Internal Identifier,"The institution-specific ID for the item, if applicable. May be non-unique. Multiple values should be provided as a comma separated list.",,,False,,,,OER,list like,ResourceID_56789
+Resource Media Accessibility,"Accessibility features (Alternative Text, Audio Description, etc.) incorporated into the item. Multiple values should be provided as a comma separated list.","Alternative Text, Audio Description, Braille, Captions, ChemML, Described Math, Display Transformability, Haptic, High Contrast, Large Print, Latex, Long Description, MathML, Nemeth Braille, Sign Language, Structural Navigation, Tactile Graphics, Text Transcript",,False,,,,OER,list like,"The educational video on the website provides 'Captions' for viewers with hearing impairments, making it an excellent example of 'Resource Media Accessibility'."
+Resource Access Hazard,"Sensory hazards (Flashing, Motion, etc.) applicable to the item. Multiple values should be provided as a comma separated list.","Flashing, Motion, Simulation, Sound",,False,,,,OER,list like,"An example for the attribute 'Resource Access Hazard' could be a website for a video game which includes flashing images and intense sequences of motion. The site also uses loud sounds and high intensity simulations which some users can find distressing or harmful, particularly if they have conditions such as epilepsy or severe motion sickness. Therefore, the website has a potential ""Resource Access Hazard."""
+Resource Dataset Alias,"URL or persistent identifier (DOI, Synapse ID) for any dataset(s) that is intended to be used with the item. Multiple values should be provided as a comma separated list.",,,False,,,,MC2/dataset,list like,"""Census Data 2010"""
+Resource Tool Link,"URL or persistent identifier (DOI, Synapse ID) for any software or tool that is intended to be used with the item. Multiple values should be provided as a comma separated list.",,,False,,,,MC2/tool,list like,https://www.khanacademy.org/
+EducationalResource_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,ER_4567
diff --git a/modules/education/template.csv b/modules/education/template.csv
new file mode 100644
index 00000000..7527a66a
--- /dev/null
+++ b/modules/education/template.csv
@@ -0,0 +1,26 @@
+Attribute,Description,Required,Validation Rules,Examples
+Educational Resource,Manifest for describing educational resources.,False,_None_,"""Online Tutoring Platform"""
+Resource Title,Title of the item.,True,str,"""Introduction to Biology"""
+Resource Link,The URL or DOI that links to the item.,True,url,https://www.example.com/resource_page.html
+[Resource Topic](../valid_values/education.md#attribute-resource-topic),"General topic or research context of the item. If 'other' is selected, please provide additional topics in the 'Resource Secondary Topic' field. Multiple values should be provided as a comma separated list.",True,list like,Resource Topic: Metabolism
+[Resource Activity Type](../valid_values/education.md#attribute-resource-activity-type),The type(s) of activities for which the item is intended to be used. Multiple values should be provided as a comma separated list.,True,list like,"Attribute: Resource Activity Type
+Example: Simulation"
+[Resource Primary Format](../valid_values/education.md#attribute-resource-primary-format),"The media type(s) of the item (video, audio, text, etc.) Multiple values should be provided as a comma separated list.",True,list like,Resource Primary Format: Video
+[Resource Intended Use](../valid_values/education.md#attribute-resource-intended-use),The purpose of the material for education. Multiple values should be provided as a comma separated list.,True,list like,"""Resource Intended Use: Curriculum/Instruction"""
+[Resource Primary Audience](../valid_values/education.md#attribute-resource-primary-audience),The intended end user audience for the resource. Multiple values should be provided as a comma separated list.,True,list like,Resource Primary Audience: Teacher
+[Resource Educational Level](../valid_values/education.md#attribute-resource-educational-level),"Educational context (pre-school, lower-primary, upper-primaryβ¦) in which the item was intended to be used. Multiple values should be provided as a comma separated list.",True,list like,Resource Educational Level: High School
+Resource Description,Abstract or summary of the item.,True,str,"""This comprehensive e-book offering insights into advanced Python programming techniques is available for download. It covers numerous topics including object-oriented programming, data structures, algorithms, decorators, generators, exception handling, testing, and debugging."""
+Resource Origin Institution,Institution(s) of origin for this item. Multiple values should be provided as a comma separated list.,True,list like,Smithsonian Institution
+[Resource Language](../valid_values/education.md#attribute-resource-language),Language of the item (not of the metadata). Multiple values should be provided as a comma separated list.,True,list like::regex search [a-z]{2},Resource Language: en
+Resource Contributors,The name(s) of the contributor(s) to the item. Multiple contributor names should be provided as a comma-separated list.,True,list like,"John Smith, Jane Doe, XYZ Corporation"
+[Resource Grant Number](../valid_values/education.md#attribute-resource-grant-number),"The grant number(s) associated with the contributor(s) of the item. If no grant number listed is applicable, please select 'Affiliated/Non-Grant Associated'. Multiple values should be provided as a comma separated list.",True,list like,Resource Grant Number: CA217655
+Resource Secondary Topic,"Additional topics or keywords to describe the content of the item, in addition to the primary topic. Multiple values should be provided as a comma-separated list.",False,list like,Climate Change Effects
+[Resource License](../valid_values/education.md#attribute-resource-license),"The name of the license applied to the item by the contributor(s), if applicable. Multiple values should be provided as a comma separated list.",False,list like,Resource License: Apache-2.0
+Resource Use Requirements,"A list of materials, hardware, software, computing power, and network requirements that the end user would need to satisfy before using the resource, if applicable. Multiple values should be provided as a comma separated list.",False,str,The software application requires 2GB of RAM and 20GB of hard drive space. It also needs a graphic card supporting OpenGL 2.0. The system must run on Windows 10 or higher.
+Resource Alias,"A unique identifier (DOI, Synapse ID) for the item, if it exists.",False,unique,Sales_Database
+Resource Internal Identifier,"The institution-specific ID for the item, if applicable. May be non-unique. Multiple values should be provided as a comma separated list.",False,list like,ResourceID_56789
+[Resource Media Accessibility](../valid_values/education.md#attribute-resource-media-accessibility),"Accessibility features (Alternative Text, Audio Description, etc.) incorporated into the item. Multiple values should be provided as a comma separated list.",False,list like,"The educational video on the website provides 'Captions' for viewers with hearing impairments, making it an excellent example of 'Resource Media Accessibility'."
+[Resource Access Hazard](../valid_values/education.md#attribute-resource-access-hazard),"Sensory hazards (Flashing, Motion, etc.) applicable to the item. Multiple values should be provided as a comma separated list.",False,list like,"An example for the attribute 'Resource Access Hazard' could be a website for a video game which includes flashing images and intense sequences of motion. The site also uses loud sounds and high intensity simulations which some users can find distressing or harmful, particularly if they have conditions such as epilepsy or severe motion sickness. Therefore, the website has a potential ""Resource Access Hazard."""
+Resource Dataset Alias,"URL or persistent identifier (DOI, Synapse ID) for any dataset(s) that is intended to be used with the item. Multiple values should be provided as a comma separated list.",False,list like,"""Census Data 2010"""
+Resource Tool Link,"URL or persistent identifier (DOI, Synapse ID) for any software or tool that is intended to be used with the item. Multiple values should be provided as a comma separated list.",False,list like,https://www.khanacademy.org/
+EducationalResource_id,A unique primary key that enables record updates using schematic.,True,unique,ER_4567
diff --git a/modules/file/annotationProperty.csv b/modules/file/annotationProperty.csv
index ed2114a4..1de2b89d 100644
--- a/modules/file/annotationProperty.csv
+++ b/modules/file/annotationProperty.csv
@@ -1,19 +1,20 @@
-Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules
-File Description,Description of the file.,,,FALSE,,,,,str
-File Design,The overall design of the dataset or file.,,,FALSE,,,,,str
-File Url,The url of where the file is stored.,,,TRUE,,,,,url
-File Assay,The assay the file is representative of.,"10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,TRUE,,,,,
-File Level,The processing level the file can be mapped to. ,"Level 1, Level 2, Level 3, Level 4, Auxiliary, Not Applicable",,TRUE,,,,HTAN,
-File Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,TRUE,,,,,list like
-File Tumor Type,"The tumor type(s), if applicable, of the data collected. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,FALSE,,,,,list like
-File Tissue,"Tissue type(s) associated with the file. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,FALSE,,,,,list like
-File View,The denormalized manifest for file submission.,,"Component, FileView_id, Biospecimen Key, Study Key, DatasetView Key, Filename, File Alias, File Description, File Design, File Level, File Assay, File Species, File Tumor Type, File Tissue, File Url, File Format, Data Use Codes, File Longitudinal Group, File Longitudinal Event Type, File Longitudinal Sequence Identifier, File Longitudinal Time Elapsed Unit, File Longitudinal Sequential Time Elapsed, File Longitudinal Total Time Elapsed",FALSE,,,Study,,
-FileView_id,A unique primary key that enables record updates using schematic.,,,TRUE,,,,,unique
-File Longitudinal Group,A label that can be used to identify groups of files from the same longitudinal/time-resolved experiment,,,FALSE,,,,,str
-File Longitudinal Event Type,"The type of event associated with collection of the data contained in the file (e.g., time increment, treatment time elapsed)",,,FALSE,,,,,str
-File Longitudinal Sequence Identifier,"The order in which this file was collected with respect to the longitudinal experiment (e.g., 1, 2, etc.). Integer.",,,FALSE,,,,,int
-File Longitudinal Time Elapsed Unit,The unit of time associated with Sequential and Total Time Elapsed attributes.,,,FALSE,,,,,str
-File Longitudinal Sequential Time Elapsed,The time elapsed between collecting the current and previous files in this longitudinal group. ,,,FALSE,,,,,num
-File Longitudinal Total Time Elapsed,The total time elapsed between the first and current files contained this longitudinal group. ,,,FALSE,,,,,num
-File Format,The format of the file described by this entry.,"AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,TRUE,,,,,
-File Alias,"A string identifier associated with the file. Must be unique. Can be the repository accesssion number (e.g., Synapse ID, GEO identifier such as GSE12345). No Greek Letters or DOIs.",,,TRUE,,,,,unique
+Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
+File Description,Description of the file.,,,False,,,,,str,"""CSV file containing gene expression data for breast cancer"""
+File Design,The overall design of the dataset or file.,,,False,,,,,str,File Design: CSV (Comma-separated values)
+File Url,The url of where the file is stored.,,,True,,,,,url,[https://www.example.com/files/breast_cancer_expression_data.csv](https://www.example.com/files/breast_cancer_expression_data.csv)
+File Assay,The assay the file is representative of.,"10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,,File Assay: RNA Sequencing
+File Level,The processing level the file can be mapped to. ,"Level 1, Level 2, Level 3, Level 4, Auxiliary, Not Applicable",,True,,,,HTAN,,"Level 3: Processed summary data, like gene expression counts or coverage statistics (e.g., CSV files)"
+File Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,True,,,,,list like,File Species: Human
+File Tumor Type,"The tumor type(s), if applicable, of the data collected. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,False,,,,,list like,File Tumor Type: Breast Carcinoma
+File Tissue,"Tissue type(s) associated with the file. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,False,,,,,list like,Breast
+File View,The denormalized manifest for file submission.,,"Component, FileView_id, Biospecimen Key, Study Key, DatasetView Key, Filename, File Alias, File Description, File Design, File Level, File Assay, File Species, File Tumor Type, File Tissue, File Url, File Format, Data Use Codes, File Longitudinal Group, File Longitudinal Event Type, File Longitudinal Sequence Identifier, File Longitudinal Time Elapsed Unit, File Longitudinal Sequential Time Elapsed, File Longitudinal Total Time Elapsed",False,,,Study,,,List View
+FileView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,"""FileView_123456"""
+File Longitudinal Group,A label that can be used to identify groups of files from the same longitudinal/time-resolved experiment,,,False,,,,,str,
+File Longitudinal Event Type,"The type of event associated with collection of the data contained in the file (e.g., time increment, treatment time elapsed)",,,False,,,,,str,"A valid value for 'File Longitudinal Event Type' might be ""FileCreated"", ""FileModified"", ""FileDeleted"", or ""FileRenamed""."
+File Longitudinal Sequence Identifier,"The order in which this file was collected with respect to the longitudinal experiment (e.g., 1, 2, etc.). Integer.",,,False,,,,,int,10-9876543210-12
+File Longitudinal Time Elapsed Unit,The unit of time associated with Sequential and Total Time Elapsed attributes.,,,False,,,,,str,Seconds
+File Longitudinal Sequential Time Elapsed,The time elapsed between collecting the current and previous files in this longitudinal group. ,,,False,,,,,num,"""2 hours 45 minutes"""
+File Longitudinal Total Time Elapsed,The total time elapsed between the first and current files contained this longitudinal group. ,,,False,,,,,num,"""120 minutes"""
+File Format,The format of the file described by this entry.,"AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,True,,,,,,"Attribute: File Format
+Example: CSV "
+File Alias,"A string identifier associated with the file. Must be unique. Can be the repository accesssion number (e.g., Synapse ID, GEO identifier such as GSE12345). No Greek Letters or DOIs.",,,True,,,,,unique,"""Breast_Cancer_Gene_Expression.csv"""
diff --git a/modules/file/template.csv b/modules/file/template.csv
new file mode 100644
index 00000000..446d810f
--- /dev/null
+++ b/modules/file/template.csv
@@ -0,0 +1,20 @@
+Attribute,Description,Required,Validation Rules,Examples
+File Description,Description of the file.,False,str,"""CSV file containing gene expression data for breast cancer"""
+File Design,The overall design of the dataset or file.,False,str,File Design: CSV (Comma-separated values)
+File Url,The url of where the file is stored.,True,url,[https://www.example.com/files/breast_cancer_expression_data.csv](https://www.example.com/files/breast_cancer_expression_data.csv)
+[File Assay](../valid_values/file.md#attribute-file-assay),The assay the file is representative of.,True,_None_,File Assay: RNA Sequencing
+[File Level](../valid_values/file.md#attribute-file-level),The processing level the file can be mapped to. ,True,_None_,"Level 3: Processed summary data, like gene expression counts or coverage statistics (e.g., CSV files)"
+[File Species](../valid_values/file.md#attribute-file-species),"The species the data was collected on. Multiple values permitted, comma separated.",True,list like,File Species: Human
+[File Tumor Type](../valid_values/file.md#attribute-file-tumor-type),"The tumor type(s), if applicable, of the data collected. Multiple values permitted, comma separated.",False,list like,File Tumor Type: Breast Carcinoma
+[File Tissue](../valid_values/file.md#attribute-file-tissue),"Tissue type(s) associated with the file. Multiple values permitted, comma separated.",False,list like,Breast
+File View,The denormalized manifest for file submission.,False,_None_,List View
+FileView_id,A unique primary key that enables record updates using schematic.,True,unique,"""FileView_123456"""
+File Longitudinal Group,A label that can be used to identify groups of files from the same longitudinal/time-resolved experiment,False,str,
+File Longitudinal Event Type,"The type of event associated with collection of the data contained in the file (e.g., time increment, treatment time elapsed)",False,str,"A valid value for 'File Longitudinal Event Type' might be ""FileCreated"", ""FileModified"", ""FileDeleted"", or ""FileRenamed""."
+File Longitudinal Sequence Identifier,"The order in which this file was collected with respect to the longitudinal experiment (e.g., 1, 2, etc.). Integer.",False,int,10-9876543210-12
+File Longitudinal Time Elapsed Unit,The unit of time associated with Sequential and Total Time Elapsed attributes.,False,str,Seconds
+File Longitudinal Sequential Time Elapsed,The time elapsed between collecting the current and previous files in this longitudinal group. ,False,num,"""2 hours 45 minutes"""
+File Longitudinal Total Time Elapsed,The total time elapsed between the first and current files contained this longitudinal group. ,False,num,"""120 minutes"""
+[File Format](../valid_values/file.md#attribute-file-format),The format of the file described by this entry.,True,_None_,"Attribute: File Format
+Example: CSV "
+File Alias,"A string identifier associated with the file. Must be unique. Can be the repository accesssion number (e.g., Synapse ID, GEO identifier such as GSE12345). No Greek Letters or DOIs.",True,unique,"""Breast_Cancer_Gene_Expression.csv"""
diff --git a/modules/grant/annotationProperty.csv b/modules/grant/annotationProperty.csv
index 000dafb7..7716abe9 100644
--- a/modules/grant/annotationProperty.csv
+++ b/modules/grant/annotationProperty.csv
@@ -1,18 +1,18 @@
-Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules
-Grant Name,Name of the grant,,,TRUE,,,,,
-Grant Number,"Number of the grant (i.e. ""CA------"" format)",,,TRUE,,,,,regex search ^CA\d{6}$
-Grant Abstract,Abstract for the grant,,,TRUE,,,,,
-Grant Type,Type of grant,"R01, R21, R37, U01, U24, U54",,TRUE,,,,,
-Grant View,The denormalized manifest for grant submission.,,"Component, GrantView_id, Grant Name, Grant Number, Grant Abstract, Grant Type, Grant Theme Name, Grant Institution Name, Grant Institution Alias, Grant Investigator, Grant Consortium Name, Grant Start Date, NIH RePORTER Link, Duration of Funding, Embargo End Date, Grant Synapse Team, Grant Synapse Project",FALSE,,,,,
-Grant Theme Name,Theme(s) associated with the grant. 1...*,"Computational Model Development, Computational Resource, Drug Resistance/Sensitivity, Epigenetics, Evolution, Experimental Model Development, Heterogeneity, Immunotherapy, Mechano-genetics, Mechano-resistance, Metabolism, Metastasis, Method/Assay Development, Microenvironment, Oncogenic Stress, Platform Development, Tumor Progression, Tumor-Immune",,TRUE,,,,,list like
-Grant Institution Name,The full name of the institution(s) associated with the grant. (e.g. Harvard University). 1...*,"Arizona State University, Auburn University, Barrow Neurological Institute, Baylor College Of Medicine, Beth Israel Deaconess Hospital, Boston Medical Center, Boston University, Brigham and Womens Hospital, California Institute of Technology, Childrens Hospital of Philadelphia, City Of Hope, Cleveland Clinic, Cold Spring Harbor Laboratory, Columbia University, Cornell University, Dana-Farber Cancer Institute, Dartmouth College, Duke University, Emory University, Georgia Institute of Technology, Harvard Medical School, Harvard University, Hebrew University of Jerusalem, Houston Methodist, Indiana University, Indiana University - Purdue University Indianapolis, Institute for Systems Biology, Jackson Laboratory, Johns Hopkins University, Lurie Children's Hospital, Massachusetts General Hospital, Massachusetts Institute of Technology, Mayo Clinic, Memorial Sloan Kettering Cancer Center, Moffitt Cancer Center, Northeastern University, New York University, Northwestern University, Oregon Health & Science University, Pacific Northwest National Laboratory, Rockefeller University, Sage Bionetworks, Salk Institute for Biological Studies, St. Jude Children's Research Hospital, Stanford University, Stony Brook University, The University of Texas Health Science Center at San Antonio, University of Alabama at Birmingham, University of Arizona, University of California; Berkeley, University of California; Irvine, University of California; Los Angeles, University of California; San Diego, University of California; San Francisco, University of Chicago, University of Chicago Medical Center, University of Colorado Denver, University of Delaware, University of Florida, University of Illinois, University of Illinois at Chicago, University of Massachusetts Medical School, University of Miami, University of Michigan, University of Nevada Reno, University of Minnesota, University of New South Wales, University of North Carolina at Chapel Hill, University of Pennsylvania, University of Pittsburgh, University of Southern California, University of Texas MD Anderson Cancer Center, University of Texas Southwestern Medical Center, University of Texas at Austin, University of Utah, University of Virginia, University of Washington, University of Wisconsin-Madison, Vanderbilt University, Washington University in St. Louis, Wake Forest, Weill Cornell Medicine, Wistar Institute, Yale University",,TRUE,,,,,list like
-Grant Institution Alias,The alias of the institution(s) associated with the grant (e.g. UCSD). 1...*,"ASU, AU, BCM, BIDMC, BMC, BU, BWH, Barrow, CHOP, COH, CSHL, Caltech, Cleveland Clinic, Columbia, Cornell, DFCI, Dartmouth, Duke, Emory, GTech, HMS, HUJI, Harvard, Houston Methodist, ISB, IU, IUPUI, JHU, Jackson Laboratory, Lurie Children's Hospital, MGH, MIT, MSKCC, Mayo, Moffitt, NEU, NU, NYU, OHSU, PNNL, Pitt, Rockefeller University, SBU, Sage, Salk, StJude, Stanford, U Miami, UA, UAB, UCBerkeley, UCD, UCI, UCLA, UCMC, UCSD, UCSF, UChicago, UD, UFL, UIC, UMMS, UMichigan, UMinn, UNC, UNR, UNSW, UPenn, USC, UT Austin, UT Southwestern, UTHSCSA, UUtah, UVA, UW, UWM, University of Illinois, University of Texas MD Anderson Cancer Center, Vanderbilt, WUSTL, WCM, Wake Forest, Wistar, Yale",,TRUE,,,,,list like
-Grant Investigator,Investigator(s) associated witht the grant. 1...*,,,TRUE,,,,,list like
-Grant Consortium Name,Consortium(s) associated with the grant. 1...1,"CCBIR, CSBC, HTAN, ICBP, MetNet, NCI, NCI Clinical and Translational Exploratory/Developmental Studies, PDMC, PS-ON, Sage Bionetworks, TEC",,TRUE,,,,,
-GrantView_id,A unique primary key that enables record updates using schematic.,,,TRUE,,,,,unique
-Grant Synapse Team,"The Synapse team associated with the grant, created by the MC2 Center",,,FALSE,,,,,url
-Grant Synapse Project,"The Synapse project associated with the grant, created by the MC2 Center",,,FALSE,,,,,url
-Grant Start Date,The start date of the grant YYYY-MM-DD format,,,TRUE,,,,,date
-NIH RePORTER Link,Link to the search results for this grant number on the NIH Reporter website,,,TRUE,,,,,url
-Duration of Funding,"Duration of the funding period, in years",,,FALSE,,,,,int
-Embargo End Date,Date at which an embargo on related resources had lifted,,,FALSE,,,,,date
+Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
+Grant Name,Name of the grant,,,True,,,,,,"""COVID-19 Small Business Relief Fund"""
+Grant Number,"Number of the grant (i.e. ""CA------"" format)",,,True,,,,,regex search ^CA\d{6}$,DE-FG02-01ER45923
+Grant Abstract,Abstract for the grant,,,True,,,,,,"""This grant aims to study the effects of climate change on the migration patterns of bird species across North America. Over the course of the five-year project, the research team will employ cutting-edge tracking techniques and extensive field work to gather data. The findings will be used to predict future shifts in bird migration, and inform wildlife conservation strategies. In addition, this study will contribute to the broader understanding of the impacts of global warming on biodiversity and ecosystems."""
+Grant Type,Type of grant,"R01, R21, R37, U01, U24, U54",,True,,,,,,R37
+Grant View,The denormalized manifest for grant submission.,,"Component, GrantView_id, Grant Name, Grant Number, Grant Abstract, Grant Type, Grant Theme Name, Grant Institution Name, Grant Institution Alias, Grant Investigator, Grant Consortium Name, Grant Start Date, NIH RePORTER Link, Duration of Funding, Embargo End Date, Grant Synapse Team, Grant Synapse Project",False,,,,,,Grant View: Public
+Grant Theme Name,Theme(s) associated with the grant. 1...*,"Computational Model Development, Computational Resource, Drug Resistance/Sensitivity, Epigenetics, Evolution, Experimental Model Development, Heterogeneity, Immunotherapy, Mechano-genetics, Mechano-resistance, Metabolism, Metastasis, Method/Assay Development, Microenvironment, Oncogenic Stress, Platform Development, Tumor Progression, Tumor-Immune",,True,,,,,list like,"Interaction, Viral/Bacterial Oncogenesis"
+Grant Institution Name,The full name of the institution(s) associated with the grant. (e.g. Harvard University). 1...*,"Arizona State University, Auburn University, Barrow Neurological Institute, Baylor College Of Medicine, Beth Israel Deaconess Hospital, Boston Medical Center, Boston University, Brigham and Womens Hospital, California Institute of Technology, Childrens Hospital of Philadelphia, City Of Hope, Cleveland Clinic, Cold Spring Harbor Laboratory, Columbia University, Cornell University, Dana-Farber Cancer Institute, Dartmouth College, Duke University, Emory University, Georgia Institute of Technology, Harvard Medical School, Harvard University, Hebrew University of Jerusalem, Houston Methodist, Indiana University, Indiana University - Purdue University Indianapolis, Institute for Systems Biology, Jackson Laboratory, Johns Hopkins University, Lurie Children's Hospital, Massachusetts General Hospital, Massachusetts Institute of Technology, Mayo Clinic, Memorial Sloan Kettering Cancer Center, Moffitt Cancer Center, Northeastern University, New York University, Northwestern University, Oregon Health & Science University, Pacific Northwest National Laboratory, Rockefeller University, Sage Bionetworks, Salk Institute for Biological Studies, St. Jude Children's Research Hospital, Stanford University, Stony Brook University, The University of Texas Health Science Center at San Antonio, University of Alabama at Birmingham, University of Arizona, University of California; Berkeley, University of California; Irvine, University of California; Los Angeles, University of California; San Diego, University of California; San Francisco, University of Chicago, University of Chicago Medical Center, University of Colorado Denver, University of Delaware, University of Florida, University of Illinois, University of Illinois at Chicago, University of Massachusetts Medical School, University of Miami, University of Michigan, University of Nevada Reno, University of Minnesota, University of New South Wales, University of North Carolina at Chapel Hill, University of Pennsylvania, University of Pittsburgh, University of Southern California, University of Texas MD Anderson Cancer Center, University of Texas Southwestern Medical Center, University of Texas at Austin, University of Utah, University of Virginia, University of Washington, University of Wisconsin-Madison, Vanderbilt University, Washington University in St. Louis, Wake Forest, Weill Cornell Medicine, Wistar Institute, Yale University",,True,,,,,list like,Brigham and Womens Hospital
+Grant Institution Alias,The alias of the institution(s) associated with the grant (e.g. UCSD). 1...*,"ASU, AU, BCM, BIDMC, BMC, BU, BWH, Barrow, CHOP, COH, CSHL, Caltech, Cleveland Clinic, Columbia, Cornell, DFCI, Dartmouth, Duke, Emory, GTech, HMS, HUJI, Harvard, Houston Methodist, ISB, IU, IUPUI, JHU, Jackson Laboratory, Lurie Children's Hospital, MGH, MIT, MSKCC, Mayo, Moffitt, NEU, NU, NYU, OHSU, PNNL, Pitt, Rockefeller University, SBU, Sage, Salk, StJude, Stanford, U Miami, UA, UAB, UCBerkeley, UCD, UCI, UCLA, UCMC, UCSD, UCSF, UChicago, UD, UFL, UIC, UMMS, UMichigan, UMinn, UNC, UNR, UNSW, UPenn, USC, UT Austin, UT Southwestern, UTHSCSA, UUtah, UVA, UW, UWM, University of Illinois, University of Texas MD Anderson Cancer Center, Vanderbilt, WUSTL, WCM, Wake Forest, Wistar, Yale",,True,,,,,list like,Stanford
+Grant Investigator,Investigator(s) associated witht the grant. 1...*,,,True,,,,,list like,Dr. John Smith
+Grant Consortium Name,Consortium(s) associated with the grant. 1...1,"CCBIR, CSBC, HTAN, ICBP, MetNet, NCI, NCI Clinical and Translational Exploratory/Developmental Studies, PDMC, PS-ON, Sage Bionetworks, TEC",,True,,,,,,Grant Consortium Name: HTAN
+GrantView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,"""GV12345"""
+Grant Synapse Team,"The Synapse team associated with the grant, created by the MC2 Center",,,False,,,,,url,"Team: Project Management, Permission: Edit"
+Grant Synapse Project,"The Synapse project associated with the grant, created by the MC2 Center",,,False,,,,,url,"Synapse_ID: syn123456789, Grant_Name: NIH Brain Initiative Grant"
+Grant Start Date,The start date of the grant YYYY-MM-DD format,,,True,,,,,date,01/01/2022
+NIH RePORTER Link,Link to the search results for this grant number on the NIH Reporter website,,,True,,,,,url,https://projectreporter.nih.gov/project_info_description.cfm?aid=9813521&icde=49775456&ddparam=&ddvalue=&ddsub=&cr=1&csb=default&cs=ASC&pball=
+Duration of Funding,"Duration of the funding period, in years",,,False,,,,,int,3 years
+Embargo End Date,Date at which an embargo on related resources had lifted,,,False,,,,,date,2023-12-31
diff --git a/modules/grant/template.csv b/modules/grant/template.csv
new file mode 100644
index 00000000..e962013a
--- /dev/null
+++ b/modules/grant/template.csv
@@ -0,0 +1,18 @@
+Attribute,Description,Required,Validation Rules,Examples
+Grant Name,Name of the grant,True,_None_,"""COVID-19 Small Business Relief Fund"""
+Grant Number,"Number of the grant (i.e. ""CA------"" format)",True,regex search ^CA\\d{6}$,DE-FG02-01ER45923
+Grant Abstract,Abstract for the grant,True,_None_,"""This grant aims to study the effects of climate change on the migration patterns of bird species across North America. Over the course of the five-year project, the research team will employ cutting-edge tracking techniques and extensive field work to gather data. The findings will be used to predict future shifts in bird migration, and inform wildlife conservation strategies. In addition, this study will contribute to the broader understanding of the impacts of global warming on biodiversity and ecosystems."""
+[Grant Type](../valid_values/grant.md#attribute-grant-type),Type of grant,True,_None_,R37
+Grant View,The denormalized manifest for grant submission.,False,_None_,Grant View: Public
+[Grant Theme Name](../valid_values/grant.md#attribute-grant-theme-name),Theme(s) associated with the grant. 1...*,True,list like,"Interaction, Viral/Bacterial Oncogenesis"
+[Grant Institution Name](../valid_values/grant.md#attribute-grant-institution-name),The full name of the institution(s) associated with the grant. (e.g. Harvard University). 1...*,True,list like,Brigham and Womens Hospital
+[Grant Institution Alias](../valid_values/grant.md#attribute-grant-institution-alias),The alias of the institution(s) associated with the grant (e.g. UCSD). 1...*,True,list like,Stanford
+Grant Investigator,Investigator(s) associated witht the grant. 1...*,True,list like,Dr. John Smith
+[Grant Consortium Name](../valid_values/grant.md#attribute-grant-consortium-name),Consortium(s) associated with the grant. 1...1,True,_None_,Grant Consortium Name: HTAN
+GrantView_id,A unique primary key that enables record updates using schematic.,True,unique,"""GV12345"""
+Grant Synapse Team,"The Synapse team associated with the grant, created by the MC2 Center",False,url,"Team: Project Management, Permission: Edit"
+Grant Synapse Project,"The Synapse project associated with the grant, created by the MC2 Center",False,url,"Synapse_ID: syn123456789, Grant_Name: NIH Brain Initiative Grant"
+Grant Start Date,The start date of the grant YYYY-MM-DD format,True,date,01/01/2022
+NIH RePORTER Link,Link to the search results for this grant number on the NIH Reporter website,True,url,https://projectreporter.nih.gov/project_info_description.cfm?aid=9813521&icde=49775456&ddparam=&ddvalue=&ddsub=&cr=1&csb=default&cs=ASC&pball=
+Duration of Funding,"Duration of the funding period, in years",False,int,3 years
+Embargo End Date,Date at which an embargo on related resources had lifted,False,date,2023-12-31
diff --git a/modules/person/annotationProperty.csv b/modules/person/annotationProperty.csv
index ffdcd7c4..795111d0 100644
--- a/modules/person/annotationProperty.csv
+++ b/modules/person/annotationProperty.csv
@@ -1,20 +1,20 @@
-Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules
-Name,Name of the individual,,,TRUE,,,,,
-Alternative Names,"Other ways the individual's name is displayed. Multiple values permitted, comma separated.",,,FALSE,,,,,list like
-Email,Email address of the individual,,,FALSE,,,,,
-Url,"URL, e.g., individual's home page address",,,FALSE,,,,,
-Orcid Id,Unique identifier (ORCID ID) of the individual,,,FALSE,,,,,regex search \d{4}\-\d{4}\-\d{4}\-\d{3}(\d|X)
-Synapse Profile Id,Unique identifier (Synapse Profile ID) of the individual. See identifer in the url of the synapse profile page. ,,,FALSE,,,,,unique
-Last Known Institution,Last known institutional affiliation of the individual.,,,TRUE,,,,,
-Working Group Participation,"CSBC/PSON working group(s) of which the individual is a member (current and former). Multiple values permitted, comma separated.","Cancer Metabolism, Cell and Tissue Mechanics, Education and Outreach, Image Analysis, Navigating Cancer with Science and Art, None, Patient Advocacy Working Group, Protein-Protein Interactions, Resource and Data Sharing",,TRUE,,,,,list like
-Chair Roles,"Committee or working group chair role(s) the individual fulfilled (current and former). Multiple values permitted, comma separated.","Annual Meeting, None, Steering Committee, Working Group",,TRUE,,,,,list like
-Consent For Portal Display,Consent from individual to display Person information in the CCKP,"No, Yes",,TRUE,,,,,
-Portal Display,Display content in CCKP,"FALSE, TRUE",,TRUE,,,,,
-Person View,The denormalized manifest for person submission.,,"Component, PersonView_id, GrantView Key, Person Consortium Name, Name, Alternative Names, Email, Url, Orcid Id, Synapse Profile Id, Last Known Institution, Working Group Participation, Chair Roles, Consent For Portal Display, Portal Display, Person Publications, Person Datasets, Person Tools, Person Educational Resources",FALSE,,,Grant View,,
-Person Grant Number,"Grant number(s) associated with the person. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,TRUE,,,,,list like
-Person Consortium Name,"Consortium(s) associated with the person. Multiple values permitted, comma separated.","CCBIR, CSBC, HTAN, ICBP, MetNet, NCI, NCI Clinical and Translational Exploratory/Developmental Studies, PDMC, PS-ON, Sage Bionetworks, TEC",,TRUE,,,,,list like
-Person Publications,"A list of the pubmed Ids associated with the person. Multiple values permitted, comma separated.",,,FALSE,,,,,list like
-Person Datasets,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the person. Multiple values permitted, comma separated.",,,FALSE,,,,,list like
-Person Tools,"A list of the tool names associated with the person. Multiple values permitted, comma separated.",,,FALSE,,,,,list like
-Person Educational Resources,"A list of educational resource identifiers associated with the person. Multiple values permitted, comma separated.",,,FALSE,,,,,list like
-PersonView_id,A unique primary key that enables record updates using schematic.,,,TRUE,,,,,unique
+Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
+Name,Name of the individual,,,True,,,,,,John Doe
+Alternative Names,"Other ways the individual's name is displayed. Multiple values permitted, comma separated.",,,False,,,,,list like,"Alternative Names: Bob, Bobby, Robert"
+Email,Email address of the individual,,,False,,,,,,johndoe@example.com
+Url,"URL, e.g., individual's home page address",,,False,,,,,,https://www.google.com
+Orcid Id,Unique identifier (ORCID ID) of the individual,,,False,,,,,regex search \d{4}\-\d{4}\-\d{4}\-\d{3}(\d|X),0000-0002-1825-0097
+Synapse Profile Id,Unique identifier (Synapse Profile ID) of the individual. See identifer in the url of the synapse profile page. ,,,False,,,,,unique,SP12345678
+Last Known Institution,Last known institutional affiliation of the individual.,,,True,,,,,,Harvard University
+Working Group Participation,"CSBC/PSON working group(s) of which the individual is a member (current and former). Multiple values permitted, comma separated.","Cancer Metabolism, Cell and Tissue Mechanics, Education and Outreach, Image Analysis, Navigating Cancer with Science and Art, None, Patient Advocacy Working Group, Protein-Protein Interactions, Resource and Data Sharing",,True,,,,,list like,Working Group Participation: Cell and Tissue Mechanics
+Chair Roles,"Committee or working group chair role(s) the individual fulfilled (current and former). Multiple values permitted, comma separated.","Annual Meeting, None, Steering Committee, Working Group",,True,,,,,list like,Steering Committee
+Consent For Portal Display,Consent from individual to display Person information in the CCKP,"No, Yes",,True,,,,,,Consent For Portal Display: Yes
+Portal Display,Display content in CCKP,"FALSE, TRUE",,True,,,,,,Portal Display: TRUE
+Person View,The denormalized manifest for person submission.,,"Component, PersonView_id, GrantView Key, Person Consortium Name, Name, Alternative Names, Email, Url, Orcid Id, Synapse Profile Id, Last Known Institution, Working Group Participation, Chair Roles, Consent For Portal Display, Portal Display, Person Publications, Person Datasets, Person Tools, Person Educational Resources",False,,,Grant View,,,Public Profile View
+Person Grant Number,"Grant number(s) associated with the person. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,Person Grant Number: CA202177
+Person Consortium Name,"Consortium(s) associated with the person. Multiple values permitted, comma separated.","CCBIR, CSBC, HTAN, ICBP, MetNet, NCI, NCI Clinical and Translational Exploratory/Developmental Studies, PDMC, PS-ON, Sage Bionetworks, TEC",,True,,,,,list like,PDMC
+Person Publications,"A list of the pubmed Ids associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"""Harry Potter and the Sorcerer's Stone"" by J.K. Rowling, ""1984"" by George Orwell, ""To Kill a Mockingbird"" by Harper Lee"
+Person Datasets,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"Name: John Doe,Gender: Male, Birthday: July 1, 1980, Nationality: American, Address: 123 Main Street, Anytown, USA, Phone Number: 123-456-7890, Email: johndoe@email.com, Occupation: Software Engineer, Marital Status: Married, Number of Children: 2"
+Person Tools,"A list of the tool names associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"Hammer, Screwdriver, Laptop, Paintbrush, Scissors"
+Person Educational Resources,"A list of educational resource identifiers associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"College textbooks, online courses, research papers, educational software, library access, tutoring services, webinars, academic journals, study guides, educational workshops, scholarship information."
+PersonView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,PersonView_12345
diff --git a/modules/person/template.csv b/modules/person/template.csv
new file mode 100644
index 00000000..4e0be9e7
--- /dev/null
+++ b/modules/person/template.csv
@@ -0,0 +1,20 @@
+Attribute,Description,Required,Validation Rules,Examples
+Name,Name of the individual,True,_None_,John Doe
+Alternative Names,"Other ways the individual's name is displayed. Multiple values permitted, comma separated.",False,list like,"Alternative Names: Bob, Bobby, Robert"
+Email,Email address of the individual,False,_None_,johndoe@example.com
+Url,"URL, e.g., individual's home page address",False,_None_,https://www.google.com
+Orcid Id,Unique identifier (ORCID ID) of the individual,False,regex search \\d{4}\\-\\d{4}\\-\\d{4}\\-\\d{3}(\\d|X),0000-0002-1825-0097
+Synapse Profile Id,Unique identifier (Synapse Profile ID) of the individual. See identifer in the url of the synapse profile page. ,False,unique,SP12345678
+Last Known Institution,Last known institutional affiliation of the individual.,True,_None_,Harvard University
+[Working Group Participation](../valid_values/person.md#attribute-working-group-participation),"CSBC/PSON working group(s) of which the individual is a member (current and former). Multiple values permitted, comma separated.",True,list like,Working Group Participation: Cell and Tissue Mechanics
+[Chair Roles](../valid_values/person.md#attribute-chair-roles),"Committee or working group chair role(s) the individual fulfilled (current and former). Multiple values permitted, comma separated.",True,list like,Steering Committee
+[Consent For Portal Display](../valid_values/person.md#attribute-consent-for-portal-display),Consent from individual to display Person information in the CCKP,True,_None_,Consent For Portal Display: Yes
+[Portal Display](../valid_values/person.md#attribute-portal-display),Display content in CCKP,True,_None_,Portal Display: TRUE
+Person View,The denormalized manifest for person submission.,False,_None_,Public Profile View
+[Person Grant Number](../valid_values/person.md#attribute-person-grant-number),"Grant number(s) associated with the person. Multiple values permitted, comma separated.",True,list like,Person Grant Number: CA202177
+[Person Consortium Name](../valid_values/person.md#attribute-person-consortium-name),"Consortium(s) associated with the person. Multiple values permitted, comma separated.",True,list like,PDMC
+Person Publications,"A list of the pubmed Ids associated with the person. Multiple values permitted, comma separated.",False,list like,"""Harry Potter and the Sorcerer's Stone"" by J.K. Rowling, ""1984"" by George Orwell, ""To Kill a Mockingbird"" by Harper Lee"
+Person Datasets,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the person. Multiple values permitted, comma separated.",False,list like,"Name: John Doe,Gender: Male, Birthday: July 1, 1980, Nationality: American, Address: 123 Main Street, Anytown, USA, Phone Number: 123-456-7890, Email: johndoe@email.com, Occupation: Software Engineer, Marital Status: Married, Number of Children: 2"
+Person Tools,"A list of the tool names associated with the person. Multiple values permitted, comma separated.",False,list like,"Hammer, Screwdriver, Laptop, Paintbrush, Scissors"
+Person Educational Resources,"A list of educational resource identifiers associated with the person. Multiple values permitted, comma separated.",False,list like,"College textbooks, online courses, research papers, educational software, library access, tutoring services, webinars, academic journals, study guides, educational workshops, scholarship information."
+PersonView_id,A unique primary key that enables record updates using schematic.,True,unique,PersonView_12345
diff --git a/modules/publication/annotationProperty.csv b/modules/publication/annotationProperty.csv
index 3545ce9a..1bd8dd24 100644
--- a/modules/publication/annotationProperty.csv
+++ b/modules/publication/annotationProperty.csv
@@ -1,18 +1,18 @@
-Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules
-Publication Doi,The digital object identifier associated with the publication in the form of https://www.doi.org/{doi} to comply with CrossRef DOI display guidelines.,,,FALSE,,,,,unique
-Publication Journal,The name of the periodical publication in which the publication was published.,,,TRUE,,,,,
-Pubmed Id,The PubMed identifier associated with the publication.,,,TRUE,,,,,unique
-Pubmed Url,Pubmed URL for the publication,,,TRUE,,,,,url
-Publication Title,Title of the publication,,,TRUE,,,,,
-Publication Year,Year of the publication,,,TRUE,,,,,
-Publication Keywords,"Keywords associated with the publication. Multiple values permitted, comma separated.",,,FALSE,,,,,list like
-Publication Authors,"Authors of the publication. Multiple values permitted, comma separated.",,,TRUE,,,,,list like
-Publication Abstract,The abstract of the publication.,,,TRUE,,,,,
-Publication Assay,"Assay(s) associated with the publication. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,TRUE,,,,,list like
-Publication Tumor Type,"Tumor type(s) associated with the publication. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,TRUE,,,,,list like
-Publication Tissue,"Tissue type(s) associated with the publication. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,TRUE,,,,,list like
-Publication Accessibility,Whether there are non-monetary restrictions on accessing an the publication.,"Open Access, Restricted Access",,TRUE,,,,,
-Publication View,The denormalized manifest for publication submission.,,"Component, PublicationView_id, Study Key, Publication Doi, Publication Journal, Pubmed Id, Pubmed Url, Publication Title, Publication Year, Publication Keywords, Publication Authors, Publication Abstract, Publication Assay, Publication Tumor Type, Publication Tissue, Publication Accessibility",FALSE,,,Study,,
-Publication Grant Number,"Relevant grant number associated witht the publication's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,TRUE,,,,,list like
-Publication Dataset Alias,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the publication. Multiple values permitted, comma separated.",,,FALSE,,,,,list like
-PublicationView_id,A unique primary key that enables record updates using schematic.,,,TRUE,,,,,unique
+Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
+Publication Doi,The digital object identifier associated with the publication in the form of https://www.doi.org/{doi} to comply with CrossRef DOI display guidelines.,,,False,,,,,unique,10.1016/j.cell.2016.02.013
+Publication Journal,The name of the periodical publication in which the publication was published.,,,True,,,,,,"""The New England Journal of Medicine"""
+Pubmed Id,The PubMed identifier associated with the publication.,,,True,,,,,unique,26571401
+Pubmed Url,Pubmed URL for the publication,,,True,,,,,url,https://www.ncbi.nlm.nih.gov/pubmed/12345678
+Publication Title,Title of the publication,,,True,,,,,,"""The New York Times"""
+Publication Year,Year of the publication,,,True,,,,,,2018
+Publication Keywords,"Keywords associated with the publication. Multiple values permitted, comma separated.",,,False,,,,,list like,"""Climate Change, Global Warming, Greenhouse Gases, Environmental Impact, Sustainability"""
+Publication Authors,"Authors of the publication. Multiple values permitted, comma separated.",,,True,,,,,list like,"""J.K. Rowling, Stephen King, Jane Austen"""
+Publication Abstract,The abstract of the publication.,,,True,,,,,,"""This article explores the developmental effects of cannabinoid exposure in zebrafish, one of the important vertebrate model systems in functional and comparative genomics. Drawing from a series of rigorous molecular analysis, the study establishes that prolonged exposure to cannabinoids impairs critical developmental processes at particular stages. The findings of this research not only contribute to our understanding of zebrafish neurobiology but also raise critical implications for human health, particularly in the context of increasing medicinal use of cannabinoids."""
+Publication Assay,"Assay(s) associated with the publication. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,list like,Publication Assay: In Vivo Bioluminescence
+Publication Tumor Type,"Tumor type(s) associated with the publication. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,True,,,,,list like,Acute Lymphoblastic Leukemia
+Publication Tissue,"Tissue type(s) associated with the publication. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,True,,,,,list like,Publication Tissue: Brain
+Publication Accessibility,Whether there are non-monetary restrictions on accessing an the publication.,"Open Access, Restricted Access",,True,,,,,,Publication Accessibility: Open Access
+Publication View,The denormalized manifest for publication submission.,,"Component, PublicationView_id, Study Key, Publication Doi, Publication Journal, Pubmed Id, Pubmed Url, Publication Title, Publication Year, Publication Keywords, Publication Authors, Publication Abstract, Publication Assay, Publication Tumor Type, Publication Tissue, Publication Accessibility",False,,,Study,,,Online
+Publication Grant Number,"Relevant grant number associated witht the publication's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,Publication Grant Number: CA202123
+Publication Dataset Alias,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the publication. Multiple values permitted, comma separated.",,,False,,,,,list like,"""Annual Crime Report 2020"""
+PublicationView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,1012
diff --git a/modules/publication/template.csv b/modules/publication/template.csv
new file mode 100644
index 00000000..41a70851
--- /dev/null
+++ b/modules/publication/template.csv
@@ -0,0 +1,18 @@
+Attribute,Description,Required,Validation Rules,Examples
+Publication Doi,The digital object identifier associated with the publication in the form of https://www.doi.org/{doi} to comply with CrossRef DOI display guidelines.,False,unique,10.1016/j.cell.2016.02.013
+Publication Journal,The name of the periodical publication in which the publication was published.,True,_None_,"""The New England Journal of Medicine"""
+Pubmed Id,The PubMed identifier associated with the publication.,True,unique,26571401
+Pubmed Url,Pubmed URL for the publication,True,url,https://www.ncbi.nlm.nih.gov/pubmed/12345678
+Publication Title,Title of the publication,True,_None_,"""The New York Times"""
+Publication Year,Year of the publication,True,_None_,2018
+Publication Keywords,"Keywords associated with the publication. Multiple values permitted, comma separated.",False,list like,"""Climate Change, Global Warming, Greenhouse Gases, Environmental Impact, Sustainability"""
+Publication Authors,"Authors of the publication. Multiple values permitted, comma separated.",True,list like,"""J.K. Rowling, Stephen King, Jane Austen"""
+Publication Abstract,The abstract of the publication.,True,_None_,"""This article explores the developmental effects of cannabinoid exposure in zebrafish, one of the important vertebrate model systems in functional and comparative genomics. Drawing from a series of rigorous molecular analysis, the study establishes that prolonged exposure to cannabinoids impairs critical developmental processes at particular stages. The findings of this research not only contribute to our understanding of zebrafish neurobiology but also raise critical implications for human health, particularly in the context of increasing medicinal use of cannabinoids."""
+[Publication Assay](../valid_values/publication.md#attribute-publication-assay),"Assay(s) associated with the publication. Multiple values permitted, comma separated.",True,list like,Publication Assay: In Vivo Bioluminescence
+[Publication Tumor Type](../valid_values/publication.md#attribute-publication-tumor-type),"Tumor type(s) associated with the publication. Multiple values permitted, comma separated.",True,list like,Acute Lymphoblastic Leukemia
+[Publication Tissue](../valid_values/publication.md#attribute-publication-tissue),"Tissue type(s) associated with the publication. Multiple values permitted, comma separated.",True,list like,Publication Tissue: Brain
+[Publication Accessibility](../valid_values/publication.md#attribute-publication-accessibility),Whether there are non-monetary restrictions on accessing an the publication.,True,_None_,Publication Accessibility: Open Access
+Publication View,The denormalized manifest for publication submission.,False,_None_,Online
+[Publication Grant Number](../valid_values/publication.md#attribute-publication-grant-number),"Relevant grant number associated witht the publication's development. Multiple values permitted, comma separated.",True,list like,Publication Grant Number: CA202123
+Publication Dataset Alias,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the publication. Multiple values permitted, comma separated.",False,list like,"""Annual Crime Report 2020"""
+PublicationView_id,A unique primary key that enables record updates using schematic.,True,unique,1012
diff --git a/modules/sharingPlans/annotationProperty.csv b/modules/sharingPlans/annotationProperty.csv
index c68dad23..27c1538c 100644
--- a/modules/sharingPlans/annotationProperty.csv
+++ b/modules/sharingPlans/annotationProperty.csv
@@ -1,23 +1,25 @@
-Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules
-DataDSP,Dataset sharing plan information. Used to indicate planned usage of MC2 Center supported Synapse projects.,,"Component, DataDSP_id, Study Key, DatasetView Key, DSP Dataset Alias, DSP Dataset Name, DSP Dataset Url, DSP Dataset Assay, DSP Dataset Level, DSP Dataset Species, DSP Dataset Tumor Type, DSP Dataset Tissue, DSP Dataset File Formats, DSP Number of Files, DSP Number of Samples, DSP Number of Participants, DSP Storage Size, DSP Dataset Description, DSP Planned Upload Date, DSP Planned Release Date, DSP Data Use Codes, DSP IRB Form, DSP Dataset Destination",FALSE,,,Study,,
-DSP Dataset Name,Name of the dataset,,,TRUE,,,,,str
-DSP Dataset Alias,"Alias of the dataset. For Synapse storage, the Synapse id associated with the dataset should be used. Must be unique.",,,FALSE,,,,,unique
-DSP Dataset Assay,"The type of data contained in this group of files. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,TRUE,,,,,list like
-DSP Dataset Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,TRUE,,,,,list like
-DSP Dataset Tumor Type,"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,FALSE,,,,,list like
-DSP Dataset Tissue,"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,FALSE,,,,,list like
-DSP Dataset File Formats,"A list of file formats associated with the dataset. Multiple values permitted, comma separated.","AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,FALSE,,,,,list like
-DataDSP_id,A unique primary key that enables record updates using schematic.,,,TRUE,,,,,unique
-DSP Dataset Level,The level of processing associated with the dataset.,"Level 1, Level 2, Level 3, Level 4, Auxiliary, Not Applicable",,FALSE,,,,,list like
-DSP Number of Files,The number of files that will be uploaded as part of this dataset.,,,FALSE,,,,,num
-DSP Number of Samples,The number of biospecimens associated with the files included in the dataset,,,FALSE,,,,,num
-DSP Number of Participants,The number of individuals or model organisms from which samples were collected to generate the dataset.,,,FALSE,,,,,num
-DSP Storage Size,The expected total storage space required for the dataset in gigabytes (GB),,,FALSE,,,,,num
-DSP Planned Upload Date,"A non-binding, estimated date by which the files are expected to be uploaded to a repository.",,,TRUE,,,,,date
-DSP Planned Release Date,The projected date that marks the end of any requested or required sharing embargo for the dataset.,,,FALSE,,,,,date
-DSP Dataset Grant Number,"Grant number(s) associated with the dataset's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,TRUE,,,,,list like
-DSP Dataset Url,The url of where the dataset is or will be stored.,,,FALSE,,,,,url
-DSP Data Use Codes,"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials, and relates to the purposes for which datasets and/or material might be removed, stored or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes ","IRB, HMB, PUB, US, NPOA, COL, NCU, NPUNCU, RS, TS, NRES, NPU, DUM, POA, MOR, GSO, RTN, CC, NMDS, IS, GS, DS, GRU, PS",,FALSE,,,,Data Use Ontology,list like
-DSP IRB Form,The Synapse Id for the executed IRB protocol or exemption document that was uploaded to Synapse. Required if human-derived data was generated for this study and will be uploaded as part of this dataset,,,FALSE,,,,,regex match syn\d+
-DSP Dataset Description,A text description of the files contained in this dataset.,,,FALSE,,,,,str
-DSP Dataset Destination,An identifier representing the repository in which this dataset is intended to be held for long term preservation.,,,FALSE,,,,,str
+Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
+DataDSP,Dataset sharing plan information. Used to indicate planned usage of MC2 Center supported Synapse projects.,,"Component, DataDSP_id, Study Key, DatasetView Key, DSP Dataset Alias, DSP Dataset Name, DSP Dataset Url, DSP Dataset Assay, DSP Dataset Level, DSP Dataset Species, DSP Dataset Tumor Type, DSP Dataset Tissue, DSP Dataset File Formats, DSP Number of Files, DSP Number of Samples, DSP Number of Participants, DSP Storage Size, DSP Dataset Description, DSP Planned Upload Date, DSP Planned Release Date, DSP Data Use Codes, DSP IRB Form, DSP Dataset Destination",False,,,Study,,,100Hz
+DSP Dataset Name,Name of the dataset,,,True,,,,,str,DSP_Dataset_Sales_Analysis_2020
+DSP Dataset Alias,"Alias of the dataset. For Synapse storage, the Synapse id associated with the dataset should be used. Must be unique.",,,False,,,,,unique,"""Sales_Data_2020"""
+DSP Dataset Assay,"The type of data contained in this group of files. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,list like,"In the DSP (Data Submission Portal) dataset, the Assay attribute for my example would be 'Flow Cytometry'. This assay allows for detailed multiparametric analysis of thousands of individual cells in a fast and efficient manner."
+DSP Dataset Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,True,,,,,list like,DSP Dataset Species: Asian Elephant
+DSP Dataset Tumor Type,"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,False,,,,,list like,"Attribute: DSP Dataset Tumor Type
+Example: Lung Carcinoma"
+DSP Dataset Tissue,"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,False,,,,,list like,Brain
+DSP Dataset File Formats,"A list of file formats associated with the dataset. Multiple values permitted, comma separated.","AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,False,,,,,list like,"Attribute: DSP Dataset File Formats
+Example: CSV"
+DataDSP_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,DataDSP_56789
+DSP Dataset Level,The level of processing associated with the dataset.,"Level 1, Level 2, Level 3, Level 4, Auxiliary, Not Applicable",,False,,,,,list like,DSP Dataset Level: Level 3
+DSP Number of Files,The number of files that will be uploaded as part of this dataset.,,,False,,,,,num,25
+DSP Number of Samples,The number of biospecimens associated with the files included in the dataset,,,False,,,,,num,50000
+DSP Number of Participants,The number of individuals or model organisms from which samples were collected to generate the dataset.,,,False,,,,,num,12
+DSP Storage Size,The expected total storage space required for the dataset in gigabytes (GB),,,False,,,,,num,16 GB
+DSP Planned Upload Date,"A non-binding, estimated date by which the files are expected to be uploaded to a repository.",,,True,,,,,date,2022-12-01
+DSP Planned Release Date,The projected date that marks the end of any requested or required sharing embargo for the dataset.,,,False,,,,,date,01/25/2023
+DSP Dataset Grant Number,"Grant number(s) associated with the dataset's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,CA209971
+DSP Dataset Url,The url of where the dataset is or will be stored.,,,False,,,,,url,https://www.example.com/dataset/dsp1234
+DSP Data Use Codes,"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials, and relates to the purposes for which datasets and/or material might be removed, stored or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes ","IRB, HMB, PUB, US, NPOA, COL, NCU, NPUNCU, RS, TS, NRES, NPU, DUM, POA, MOR, GSO, RTN, CC, NMDS, IS, GS, DS, GRU, PS",,False,,,,Data Use Ontology,list like,"If a research institution is using certain data for health and medicine-based studies, then their DSP Data Use Codes could be ""HMB""."
+DSP IRB Form,The Synapse Id for the executed IRB protocol or exemption document that was uploaded to Synapse. Required if human-derived data was generated for this study and will be uploaded as part of this dataset,,,False,,,,,regex match syn\d+,"DSP IRB Form V2.0, 2020"
+DSP Dataset Description,A text description of the files contained in this dataset.,,,False,,,,,str,"The DSP (Digital Signal Processing) Dataset is a collection of preprocessed data from audio signals. It includes various features extracted from these signals such as frequency components, amplitude modulation, spectral content, etc. The data can be used for training machine learning models in applications like speech recognition, music classification, sound source localization, and other audio processing tasks."
+DSP Dataset Destination,An identifier representing the repository in which this dataset is intended to be held for long term preservation.,,,False,,,,,str,"""/home/user/datasets/dsp_output"""
diff --git a/modules/sharingPlans/template.csv b/modules/sharingPlans/template.csv
new file mode 100644
index 00000000..b9fdbdde
--- /dev/null
+++ b/modules/sharingPlans/template.csv
@@ -0,0 +1,25 @@
+Attribute,Description,Required,Validation Rules,Examples
+DataDSP,Dataset sharing plan information. Used to indicate planned usage of MC2 Center supported Synapse projects.,False,_None_,100Hz
+DSP Dataset Name,Name of the dataset,True,str,DSP_Dataset_Sales_Analysis_2020
+DSP Dataset Alias,"Alias of the dataset. For Synapse storage, the Synapse id associated with the dataset should be used. Must be unique.",False,unique,"""Sales_Data_2020"""
+[DSP Dataset Assay](../valid_values/sharingPlans.md#attribute-dsp-dataset-assay),"The type of data contained in this group of files. Multiple values permitted, comma separated.",True,list like,"In the DSP (Data Submission Portal) dataset, the Assay attribute for my example would be 'Flow Cytometry'. This assay allows for detailed multiparametric analysis of thousands of individual cells in a fast and efficient manner."
+[DSP Dataset Species](../valid_values/sharingPlans.md#attribute-dsp-dataset-species),"The species the data was collected on. Multiple values permitted, comma separated.",True,list like,DSP Dataset Species: Asian Elephant
+[DSP Dataset Tumor Type](../valid_values/sharingPlans.md#attribute-dsp-dataset-tumor-type),"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.",False,list like,"Attribute: DSP Dataset Tumor Type
+Example: Lung Carcinoma"
+[DSP Dataset Tissue](../valid_values/sharingPlans.md#attribute-dsp-dataset-tissue),"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.",False,list like,Brain
+[DSP Dataset File Formats](../valid_values/sharingPlans.md#attribute-dsp-dataset-file-formats),"A list of file formats associated with the dataset. Multiple values permitted, comma separated.",False,list like,"Attribute: DSP Dataset File Formats
+Example: CSV"
+DataDSP_id,A unique primary key that enables record updates using schematic.,True,unique,DataDSP_56789
+[DSP Dataset Level](../valid_values/sharingPlans.md#attribute-dsp-dataset-level),The level of processing associated with the dataset.,False,list like,DSP Dataset Level: Level 3
+DSP Number of Files,The number of files that will be uploaded as part of this dataset.,False,num,25
+DSP Number of Samples,The number of biospecimens associated with the files included in the dataset,False,num,50000
+DSP Number of Participants,The number of individuals or model organisms from which samples were collected to generate the dataset.,False,num,12
+DSP Storage Size,The expected total storage space required for the dataset in gigabytes (GB),False,num,16 GB
+DSP Planned Upload Date,"A non-binding, estimated date by which the files are expected to be uploaded to a repository.",True,date,2022-12-01
+DSP Planned Release Date,The projected date that marks the end of any requested or required sharing embargo for the dataset.,False,date,01/25/2023
+[DSP Dataset Grant Number](../valid_values/sharingPlans.md#attribute-dsp-dataset-grant-number),"Grant number(s) associated with the dataset's development. Multiple values permitted, comma separated.",True,list like,CA209971
+DSP Dataset Url,The url of where the dataset is or will be stored.,False,url,https://www.example.com/dataset/dsp1234
+[DSP Data Use Codes](../valid_values/sharingPlans.md#attribute-dsp-data-use-codes),"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials, and relates to the purposes for which datasets and/or material might be removed, stored or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes ",False,list like,"If a research institution is using certain data for health and medicine-based studies, then their DSP Data Use Codes could be ""HMB""."
+DSP IRB Form,The Synapse Id for the executed IRB protocol or exemption document that was uploaded to Synapse. Required if human-derived data was generated for this study and will be uploaded as part of this dataset,False,regex match syn\\d+,"DSP IRB Form V2.0, 2020"
+DSP Dataset Description,A text description of the files contained in this dataset.,False,str,"The DSP (Digital Signal Processing) Dataset is a collection of preprocessed data from audio signals. It includes various features extracted from these signals such as frequency components, amplitude modulation, spectral content, etc. The data can be used for training machine learning models in applications like speech recognition, music classification, sound source localization, and other audio processing tasks."
+DSP Dataset Destination,An identifier representing the repository in which this dataset is intended to be held for long term preservation.,False,str,"""/home/user/datasets/dsp_output"""
diff --git a/modules/study/annotationProperty.csv b/modules/study/annotationProperty.csv
index 5af9d46e..52d31dfb 100644
--- a/modules/study/annotationProperty.csv
+++ b/modules/study/annotationProperty.csv
@@ -1,14 +1,14 @@
-Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules
-Study,Studies associated with a grant,,"Component, Study_id, GrantView Key, ProjectView Key, Study dbGaP Accession Id, Study Name, Study Description, Study Investigator, PersonView Key, Study Number of Participants, Study De-identification Method Type, Study De-identification Method Description, Study De-identification Method Software, Study Reuse Statement, Study Data Use Codes, Study License",FALSE,,,Grant View,,
-Study Name,Name of the study,,,TRUE,,,,,str
-Study Description,"Description of the study, including the types of experimental assays, model systems, types of analysis, etc.",,,TRUE,,,,,str
-Study Investigator,Investigator(s) associated with the project. Multiple names should be provided as a comma-separated list.,,,TRUE,,,,,list like
-Study Reuse Statement,"The funder-, contributor-, patient-, etc., derived content that includes terms, conditions, or statements associated with accessing and reusing the resource(s).",,,FALSE,,,,,str
-Study_id,A unique primary key that enables record updates using schematic.,,,TRUE,,,,,unique
-Study Number of Participants,The number of participant instances associated with systematic investigation into a subject. ,,,TRUE,,,,CDS/collection,int
-Study De-identification Method Type,General description of the de-identification method,"Manual , Semiautomatic , Automatic , Not applicable",,TRUE,,,,CDS/collection,
-Study De-identification Method Description,Description of the process of removing potentially identifying data or data elements to render data into a form that does not identify individuals and where identification is not likely to take place.,,,FALSE,,,,CDS/collection,str
-Study De-identification Method Software,Software that was used to de-identify the images (if used),,,FALSE,,,,CDS/collection,str
-Study dbGaP Accession Id,A stable unique alphanumeric identifier assigned to a study and any objects by the database of Genotypes and Phenotypes (dbGaP). Required for controlled access data being submitted to CDS/CRDC.,,,FALSE,,,,CDS/collection,str
-Study License,Official or legal permission to do or own a specified thing. Studies with data that will be submitted to CDS are required to provide a license.,"CC BY 3.0, CC BY 4.0, CC BY-NC 4.0, CC BY-NC 3.0",,FALSE,,,,CDS/collection,
-Study Data Use Codes,"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials and relates to the purposes for which datasets and/or material might be removed, stored, or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes","IRB, HMB, PUB, US, NPOA, COL, NCU, NPUNCU, RS, TS, NRES, NPU, DUM, POA, MOR, GSO, RTN, CC, NMDS, IS, GS, DS, GRU, PS",,FALSE,,,,Data Use Ontology, list like
+Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
+Study,Studies associated with a grant,,"Component, Study_id, GrantView Key, ProjectView Key, Study dbGaP Accession Id, Study Name, Study Description, Study Investigator, PersonView Key, Study Number of Participants, Study De-identification Method Type, Study De-identification Method Description, Study De-identification Method Software, Study Reuse Statement, Study Data Use Codes, Study License",False,,,Grant View,,,"""Physics"""
+Study Name,Name of the study,,,True,,,,,str,"""Effects of Diet and Exercise on Obesity"""
+Study Description,"Description of the study, including the types of experimental assays, model systems, types of analysis, etc.",,,True,,,,,str,"""Analysis of Cardiovascular Response during Exercise"""
+Study Investigator,Investigator(s) associated with the project. Multiple names should be provided as a comma-separated list.,,,True,,,,,list like,"Dr. John Smith, PhD in Neuroscience, University of California"
+Study Reuse Statement,"The funder-, contributor-, patient-, etc., derived content that includes terms, conditions, or statements associated with accessing and reusing the resource(s).",,,False,,,,,str,"""Data from this study can be used for future research purposes under the conditions that all information is properly cited and referenced."""
+Study_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,STUDY_2021_01Biology
+Study Number of Participants,The number of participant instances associated with systematic investigation into a subject. ,,,True,,,,CDS/collection,int,5000
+Study De-identification Method Type,General description of the de-identification method,"Manual , Semiautomatic , Automatic , Not applicable",,True,,,,CDS/collection,,Manual
+Study De-identification Method Description,Description of the process of removing potentially identifying data or data elements to render data into a form that does not identify individuals and where identification is not likely to take place.,,,False,,,,CDS/collection,str,"The study de-identification method description might be something like: ""All personal identifiable information such as names, addresses, and identification numbers were removed from the data. The dates were also shifted to a random point in the future to preserve the temporal relationships but without revealing the actual dates. The datasets were further reviewed and verified by a privacy officer to ensure all participants' identity is completely unidentifiable."""
+Study De-identification Method Software,Software that was used to de-identify the images (if used),,,False,,,,CDS/collection,str,"""Safe Harbor Method Software"""
+Study dbGaP Accession Id,A stable unique alphanumeric identifier assigned to a study and any objects by the database of Genotypes and Phenotypes (dbGaP). Required for controlled access data being submitted to CDS/CRDC.,,,False,,,,CDS/collection,str,phs000424.v7.p2
+Study License,Official or legal permission to do or own a specified thing. Studies with data that will be submitted to CDS are required to provide a license.,"CC BY 3.0, CC BY 4.0, CC BY-NC 4.0, CC BY-NC 3.0",,False,,,,CDS/collection,,CC BY-NC 4.0
+Study Data Use Codes,"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials and relates to the purposes for which datasets and/or material might be removed, stored, or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes","IRB, HMB, PUB, US, NPOA, COL, NCU, NPUNCU, RS, TS, NRES, NPU, DUM, POA, MOR, GSO, RTN, CC, NMDS, IS, GS, DS, GRU, PS",,False,,,,Data Use Ontology, list like,Study Data Use Codes: NCU
diff --git a/modules/study/template.csv b/modules/study/template.csv
new file mode 100644
index 00000000..3388db98
--- /dev/null
+++ b/modules/study/template.csv
@@ -0,0 +1,14 @@
+Attribute,Description,Required,Validation Rules,Examples
+Study,Studies associated with a grant,False,_None_,"""Physics"""
+Study Name,Name of the study,True,str,"""Effects of Diet and Exercise on Obesity"""
+Study Description,"Description of the study, including the types of experimental assays, model systems, types of analysis, etc.",True,str,"""Analysis of Cardiovascular Response during Exercise"""
+Study Investigator,Investigator(s) associated with the project. Multiple names should be provided as a comma-separated list.,True,list like,"Dr. John Smith, PhD in Neuroscience, University of California"
+Study Reuse Statement,"The funder-, contributor-, patient-, etc., derived content that includes terms, conditions, or statements associated with accessing and reusing the resource(s).",False,str,"""Data from this study can be used for future research purposes under the conditions that all information is properly cited and referenced."""
+Study_id,A unique primary key that enables record updates using schematic.,True,unique,STUDY_2021_01Biology
+Study Number of Participants,The number of participant instances associated with systematic investigation into a subject. ,True,int,5000
+[Study De-identification Method Type](../valid_values/study.md#attribute-study-de-identification-method-type),General description of the de-identification method,True,_None_,Manual
+Study De-identification Method Description,Description of the process of removing potentially identifying data or data elements to render data into a form that does not identify individuals and where identification is not likely to take place.,False,str,"The study de-identification method description might be something like: ""All personal identifiable information such as names, addresses, and identification numbers were removed from the data. The dates were also shifted to a random point in the future to preserve the temporal relationships but without revealing the actual dates. The datasets were further reviewed and verified by a privacy officer to ensure all participants' identity is completely unidentifiable."""
+Study De-identification Method Software,Software that was used to de-identify the images (if used),False,str,"""Safe Harbor Method Software"""
+Study dbGaP Accession Id,A stable unique alphanumeric identifier assigned to a study and any objects by the database of Genotypes and Phenotypes (dbGaP). Required for controlled access data being submitted to CDS/CRDC.,False,str,phs000424.v7.p2
+[Study License](../valid_values/study.md#attribute-study-license),Official or legal permission to do or own a specified thing. Studies with data that will be submitted to CDS are required to provide a license.,False,_None_,CC BY-NC 4.0
+[Study Data Use Codes](../valid_values/study.md#attribute-study-data-use-codes),"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials and relates to the purposes for which datasets and/or material might be removed, stored, or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes",False, list like,Study Data Use Codes: NCU
diff --git a/modules/templates/10xVisiumAuxiliaryFiles.csv b/modules/templates/10xVisiumAuxiliaryFiles.csv
new file mode 100644
index 00000000..dda34c65
--- /dev/null
+++ b/modules/templates/10xVisiumAuxiliaryFiles.csv
@@ -0,0 +1,2 @@
+Component,Filename,File Format,Biospecimen Key,10xVisiumAuxiliaryFiles_id,10xVisiumRNALevel1 Key,10xVisiumRNALevel2 Key,10xVisiumRNALevel3 Key,10xVisiumRNALevel4 Key,Run ID,Visium File Type,Slide ID,Capture Area,Workflow Version,Workflow Link
+10xVisiumAuxiliaryFiles,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumRNALevel1.csv b/modules/templates/10xVisiumRNALevel1.csv
new file mode 100644
index 00000000..21d042c3
--- /dev/null
+++ b/modules/templates/10xVisiumRNALevel1.csv
@@ -0,0 +1,2 @@
+Component,10xVisiumRNALevel1_id,Filename,Visium Run ID,File Format,Biospecimen Key,File Alias,NGS Read Indicator,Visium Spatial Read1,Visium Spatial Read2,Visium Spatial Library Construction Method,NGS Library Preparation Days from Index,NGS Sequencing Library Construction Days from Index,NGS End Bias,NGS Reverse Transcription Primer,NGS Sequencing Platform,Visium Capture Area,Protocol Link,Visium Slide Version,Visium Slide ID,Visium Image Re-orientation,Visium Permeabilization Time,NGS RIN,NGS DV200
+10xVisiumRNALevel1,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumRNALevel2.csv b/modules/templates/10xVisiumRNALevel2.csv
new file mode 100644
index 00000000..72459f5b
--- /dev/null
+++ b/modules/templates/10xVisiumRNALevel2.csv
@@ -0,0 +1,2 @@
+Component,10xVisiumRNALevel2_id,Filename,File Format,Checksum,10xVisiumRNALevel1 Key,File Alias,Visium UMI Tag,Visium Whitelist Spatial Barcode File Link,Visium Spatial Barcode Tag,Visium Applied Hard Trimming,Workflow Version,Workflow Link,Genomic Reference,Genomic Reference URL,Genome Annotation URL,Biospecimen Key,Visium Run ID,Visium Capture Area
+10xVisiumRNALevel2,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumRNALevel3.csv b/modules/templates/10xVisiumRNALevel3.csv
new file mode 100644
index 00000000..f0d7ad52
--- /dev/null
+++ b/modules/templates/10xVisiumRNALevel3.csv
@@ -0,0 +1,2 @@
+Component,10xVisiumRNALevel3_id,Filename,File Format,Biospecimen Key,10xVisiumRNALevel2 Key,10xVisiumAuxiliaryFiles Key,File Alias,Visium Run ID,Visium File Type,Workflow Version,Workflow Link,Visium Capture Area,Visium Spots under tissue,Visium Mean Reads per Spatial Spot,Visium Median Number Genes per Spatial Spot,NGS Sequencing Coverage,Visium Proportion Reads Mapped,Visium Proportion Reads Mapped to Transcriptome,Visium Median UMI Counts per Spot
+10xVisiumRNALevel3,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumRNALevel4.csv b/modules/templates/10xVisiumRNALevel4.csv
new file mode 100644
index 00000000..519ef96c
--- /dev/null
+++ b/modules/templates/10xVisiumRNALevel4.csv
@@ -0,0 +1,2 @@
+Component,10xVisiumRNALevel4_id,Filename,File Format,Biospecimen Key,10xVisiumRNALevel3 Key,Run ID,Workflow Version,Workflow Link,Visium Workflow Type,Visium Workflow Parameters Description
+10xVisiumRNALevel4,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-AuxiliaryFiles.csv b/modules/templates/10xVisiumSpatialTranscriptomics-AuxiliaryFiles.csv
new file mode 100644
index 00000000..160d867b
--- /dev/null
+++ b/modules/templates/10xVisiumSpatialTranscriptomics-AuxiliaryFiles.csv
@@ -0,0 +1,2 @@
+Component,Filename,File Format,Biospecimen Key,VisiumAux_id,VisiumRNALevel1 Key,VisiumRNALevel2 Key,VisiumRNALevel3 Key,VisiumRNALevel4 Key,Run ID,Visium File Type,Slide ID,Capture Area,Workflow Version,Workflow Link
+10xVisiumSpatialTranscriptomics-AuxiliaryFiles,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel1.csv b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel1.csv
new file mode 100644
index 00000000..b54832cc
--- /dev/null
+++ b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel1.csv
@@ -0,0 +1,2 @@
+Component,VisiumRNALevel1_id,Filename,Run ID,File Format,Biospecimen Key,File Alias,Read Indicator,Spatial Read1,Spatial Read2,Spatial Library Construction Method,Library Preparation Days from Index,Sequencing Library Construction Days from Index,End Bias,Reverse Transcription Primer,Sequencing Platform,Capture Area,Protocol Link,Slide Version,Slide ID,Image Re-orientation,Permeabilization Time,RIN,DV200
+10xVisiumSpatialTranscriptomics-RNA-seqLevel1,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel2.csv b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel2.csv
new file mode 100644
index 00000000..2a7015c4
--- /dev/null
+++ b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel2.csv
@@ -0,0 +1,2 @@
+Component,VisiumRNALevel2_id,Filename,File Format,Checksum,VisiumRNALevel1 Key,File Alias,UMI Tag,Whitelist Spatial Barcode File Link,Spatial Barcode Tag,Applied Hard Trimming,Workflow Version,Workflow Link,Genomic Reference,Genomic Reference URL,Genome Annotation URL,Biospecimen Key,Run ID,Capture Area
+10xVisiumSpatialTranscriptomics-RNA-seqLevel2,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel3.csv b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel3.csv
new file mode 100644
index 00000000..d6fb50b2
--- /dev/null
+++ b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel3.csv
@@ -0,0 +1,2 @@
+Component,VisiumRNALevel3_id,Filename,File Format,Biospecimen Key,VisiumRNALevel2 Key,VisiumAux Key,File Alias,Run ID,Visium File Type,Workflow Version,Workflow Link,Capture Area,Spots under tissue,Mean Reads per Spatial Spot,Median Number Genes per Spatial Spot,Sequencing Saturation,Proportion Reads Mapped,Proportion Reads Mapped to Transcriptome,Median UMI Counts per Spot
+10xVisiumSpatialTranscriptomics-RNA-seqLevel3,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel4.csv b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel4.csv
new file mode 100644
index 00000000..b33a5a1e
--- /dev/null
+++ b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel4.csv
@@ -0,0 +1,2 @@
+Component,VisiumRNALevel4_id,Filename,File Format,Biospecimen Key,VisiumRNALevel3 Key,Run ID,Workflow Version,Workflow Link,Visium Workflow Type,Visium Workflow Parameters Description
+10xVisiumSpatialTranscriptomics-RNA-seqLevel4,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/Biospecimen.csv b/modules/templates/Biospecimen.csv
new file mode 100644
index 00000000..fb54a2c9
--- /dev/null
+++ b/modules/templates/Biospecimen.csv
@@ -0,0 +1,2 @@
+Component,Biospecimen_id,Study Key,Individual Key,Model Key,Parent Biospecimen Key,Biospecimen Type,Biospecimen Acquisition Method,Biospecimen Stain,Biospecimen Species,Biospecimen Sex,Biospecimen Age at Collection,Biospecimen Age at Collection Unit,Biospecimen Disease Type,Biospecimen Primary Site,Biospecimen Primary Diagnosis,Biospecimen Site of Origin,Biospecimen Tumor Subtype,Biospecimen Tumor Grade,Biospecimen Known Metastasis Sites,Biospecimen Tumor Morphology,Biospecimen Pathology,Biospecimen Composition,Biospecimen Preservation Method,Biospecimen Fixative,Biospecimen Embedding Medium,Biospecimen Anatomic Site,Biospecimen Site of Resection or Biopsy,Biospecimen Timepoint Type,Biospecimen Timepoint Offset,Biospecimen Collection Site,Biospecimen Therapeutic Agent,Biospecimen Last Known Disease Status,Biospecimen BioSample Identifier,Biospecimen Description
+Biospecimen,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/DataDSP.csv b/modules/templates/DataDSP.csv
new file mode 100644
index 00000000..cdd72926
--- /dev/null
+++ b/modules/templates/DataDSP.csv
@@ -0,0 +1,2 @@
+Component,DataDSP_id,Study Key,DatasetView Key,DSP Dataset Alias,DSP Dataset Name,DSP Dataset Url,DSP Dataset Assay,DSP Dataset Level,DSP Dataset Species,DSP Dataset Tumor Type,DSP Dataset Tissue,DSP Dataset File Formats,DSP Number of Files,DSP Number of Samples,DSP Number of Participants,DSP Storage Size,DSP Dataset Description,DSP Planned Upload Date,DSP Planned Release Date,DSP Data Use Codes,DSP IRB Form,DSP Dataset Destination
+DataDSP,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/DatasetView.csv b/modules/templates/DatasetView.csv
new file mode 100644
index 00000000..fe709ad5
--- /dev/null
+++ b/modules/templates/DatasetView.csv
@@ -0,0 +1,2 @@
+Component,DatasetView_id,Study Key,PublicationView Key,Dataset Name,Dataset Alias,Dataset Description,Dataset Design,Dataset Assay,Dataset Species,Dataset Tumor Type,Dataset Tissue,Dataset Url,Dataset File Formats,Data Use Codes
+DatasetView,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/EducationalResource.csv b/modules/templates/EducationalResource.csv
new file mode 100644
index 00000000..73b11839
--- /dev/null
+++ b/modules/templates/EducationalResource.csv
@@ -0,0 +1,2 @@
+Component,EducationalResource_id,Resource Title,Resource Link,Resource Topic,Resource Activity Type,Resource Primary Format,Resource Intended Use,Resource Primary Audience,Resource Educational Level,Resource Description,Resource Origin Institution,Resource Language,Resource Contributors,Resource Grant Number,Resource Secondary Topic,Resource License,Resource Use Requirements,Resource Alias,Resource Internal Identifier,Resource Media Accessibility,Resource Access Hazard,Resource Dataset Alias,Resource Tool Link
+EducationalResource,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/FileView.csv b/modules/templates/FileView.csv
new file mode 100644
index 00000000..92ac2521
--- /dev/null
+++ b/modules/templates/FileView.csv
@@ -0,0 +1,2 @@
+Component,FileView_id,Biospecimen Key,Study Key,DatasetView Key,Filename,File Alias,File Description,File Design,File Level,File Assay,File Species,File Tumor Type,File Tissue,File Url,File Format,Data Use Codes,File Longitudinal Group,File Longitudinal Event Type,File Longitudinal Sequence Identifier,File Longitudinal Time Elapsed Unit,File Longitudinal Sequential Time Elapsed,File Longitudinal Total Time Elapsed
+FileView,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/GrantView.csv b/modules/templates/GrantView.csv
new file mode 100644
index 00000000..d19386e1
--- /dev/null
+++ b/modules/templates/GrantView.csv
@@ -0,0 +1,2 @@
+Component,GrantView_id,Grant Name,Grant Number,Grant Abstract,Grant Type,Grant Theme Name,Grant Institution Name,Grant Institution Alias,Grant Investigator,Grant Consortium Name,Grant Start Date,NIH RePORTER Link,Duration of Funding,Embargo End Date,Grant Synapse Team,Grant Synapse Project
+GrantView,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingChannel.csv b/modules/templates/ImagingChannel.csv
new file mode 100644
index 00000000..67573f9c
--- /dev/null
+++ b/modules/templates/ImagingChannel.csv
@@ -0,0 +1,2 @@
+Component,ImagingChannel_id,Study Key,Channel Identifier,Channel Name,Channel Passed QC,Channel Cycle Number,Channel Sub-cycle Number,Channel Antibody Role,Channel Target Name,Channel Antibody Name,Channel Resource ID,Channel Fluorophore,Channel Antibody Clone,Channel Antibody Lot,Channel Antibody Vendor,Channel Antibody Catalog Number,Channel Excitation Wavelength,Channel Emission Wavelength,Channel Excitation Bandwidth,Channel Emission Bandwidth,Channel Metal Symbol,Channel Metal Isotope,Channel Oligo Barcode Upper Strand,Channel Oligo Barcode Lower Strand,Channel Probe Dilution Ratio,Channel Probe Concentration
+ImagingChannel,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel1.csv b/modules/templates/ImagingLevel1.csv
new file mode 100644
index 00000000..944966f8
--- /dev/null
+++ b/modules/templates/ImagingLevel1.csv
@@ -0,0 +1,2 @@
+Component,ImagingLevel1_id,Filename,Image Assay Type,Image Protocol Link,Image Platform Model,Image Platform Manufacturer,Image Software,ImagingChannel Key
+ImagingLevel1,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel2.csv b/modules/templates/ImagingLevel2.csv
new file mode 100644
index 00000000..8f20521c
--- /dev/null
+++ b/modules/templates/ImagingLevel2.csv
@@ -0,0 +1,2 @@
+Component,ImagingLevel2_id,Filename,ImagingLevel1 Key,ImagingChannel Key,Image Assay Type,Image Protocol Link,Image Platform Model,Image Platform Manufacturer,Image Software,Image Objective,Image Nominal Magnification,Image Lense Aperture,Image Working Distance,Image Working Distance Unit,Image Immersion Type,Image Pyramidal,Image Z stack,Image Timeseries,Image FOV Index,Image FOV Size X,Image FOV Size X Unit,Image FOV Size Y,Image FOV Size Y Unit,Image Frame Averaging,Image Identifier,Image Dimension Order,Image Physical Size X,Image Physical Size X Unit,Image Physical Size Y,Image Physical Size Y Unit,Image Physical Size Z,Image Physical Size Z Unit,Image Pixels BigEndian,Image Plane Count,Image Channel Size,Image Number of Timepoints,Image X Pixels,Image Y Pixels,Image Z Pixels,Image Pixel Type
+ImagingLevel2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel3Image.csv b/modules/templates/ImagingLevel3Image.csv
new file mode 100644
index 00000000..c7452c5d
--- /dev/null
+++ b/modules/templates/ImagingLevel3Image.csv
@@ -0,0 +1,2 @@
+Component,ImagingLevel3Image_id,Filename,ImagingChannel Key,ImagingLevel2 Key,Image Assay Type,Image Protocol Link,Image Platform Model,Image Platform Manufacturer,Image Software,Image Objective,Image Nominal Magnification,Image Lense Aperture,Image Working Distance,Image Immersion Type,Image Pyramidal,Image Z stack,Image Timeseries,Image FOV Index,Image FOV Size X,Image FOV Size Y,Image FOV Size Y Unit,Image Frame Averaging
+ImagingLevel3Image,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel3Segments.csv b/modules/templates/ImagingLevel3Segments.csv
new file mode 100644
index 00000000..bf4bf6f3
--- /dev/null
+++ b/modules/templates/ImagingLevel3Segments.csv
@@ -0,0 +1,2 @@
+Component,ImagingLevel3Segments_id,Filename,ImagingLevel2 Key,ImagingLevel3Image Key,Image Segmentation Data Type,Image Parameter file,Software and Version,Image Object Class,Image Object Class Description,Image Number of Objects
+ImagingLevel3Segments,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel4.csv b/modules/templates/ImagingLevel4.csv
new file mode 100644
index 00000000..74f9857a
--- /dev/null
+++ b/modules/templates/ImagingLevel4.csv
@@ -0,0 +1,2 @@
+Component,ImagingLevel4_id,Filename,ImagingLevel2 Key,ImagingLevel3Image Key,ImagingLevel3Segments Key,Image Parameter file,Image Software,Image Number of Objects,Image Number of Features,Image Object Class,Image Summary Statistic
+ImagingLevel4,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/Individual.csv b/modules/templates/Individual.csv
new file mode 100644
index 00000000..abea9720
--- /dev/null
+++ b/modules/templates/Individual.csv
@@ -0,0 +1,2 @@
+Component,Individual_id,Study Key,Individual dbGaP Subject Id,Individual Sex,Individual Gender,Individual Age at Diagnosis,Individual Disease Type,Individual Primary Diagnosis,Individual Primary Site,Individual Primary Tumor Stage,Individual Site of Origin,Individual Tumor Subtype,Individual Tumor Grade,Individual Tumor Lymph Node Stage,Individual Known Metastasis Sites,Individual Metastasis Stage,Individual Treatment Type,Individual Therapeutic Agent,Individual Days to Treatment,Individual Treatment Outcome,Individual Days to Last Followup,Individual Recurrence Status,Individual Days To Recurrence,Individual Days to Last Known Disease Status,Individual Last Known Disease Status
+Individual,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/Model.csv b/modules/templates/Model.csv
new file mode 100644
index 00000000..b00dcc52
--- /dev/null
+++ b/modules/templates/Model.csv
@@ -0,0 +1,2 @@
+Component,Model_id,Study Key,Individual Key,Model Age,Model Age Unit,Model Sex,Model Primary Diagnosis,Model Site of Origin,Model Tumor Type,Model Tumor Subtype,Model Species,Model Type,Model Method,Model Source,Model Acquisition Type,Model Graft Source,Model Genotype,Model Treatment Type,Model Therapeutic Agent
+Model,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMXROISegmentAnnotation.csv b/modules/templates/NanoStringGeoMXROISegmentAnnotation.csv
new file mode 100644
index 00000000..317d5327
--- /dev/null
+++ b/modules/templates/NanoStringGeoMXROISegmentAnnotation.csv
@@ -0,0 +1,2 @@
+Component,NanoStringGeoMXROISegmentAnnotation_id,Biospecimen Key,GeoMx Scan name,GeoMx ROI Name,GeoMx AOI Name,GeoMx Tags,GeoMx ROI X Coordinate,GeoMx ROI Y Coordinate,GeoMx AOI X Coordinate,GeoMx AOI Y Coordinate,GeoMx QC status,GeoMx Scan Height,GeoMx Scan Width,GeoMx Scan Offset X,GeoMx Scan Offset Y,GeoMx Binding Density,GeoMx Positive norm factor,GeoMx Surface area,GeoMx Nuclei count,GeoMx Tissue Stain,GeoMx Slide name,NGS Raw reads,NGS Stitched reads,NGS Aligned reads,NGS Deduplicated reads,NGS Trimmed reads,NGS Sequencing Coverage,NGS MapQ30,GeoMx Negative count mean,GeoMx No Template Control count,GeoMx Excluded Outlier Probes,GeoMx Limit of Quantification
+NanoStringGeoMXROISegmentAnnotation,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxAuxiliaryFiles.csv b/modules/templates/NanoStringGeoMxAuxiliaryFiles.csv
new file mode 100644
index 00000000..e16193f5
--- /dev/null
+++ b/modules/templates/NanoStringGeoMxAuxiliaryFiles.csv
@@ -0,0 +1,2 @@
+Component,NanoStringGeoMxAuxiliaryFiles_id,Synapse ID of GeoMx DSP ROI Segment Annotation File,Synapse ID of GeoMx DSP PKC File,Synapse ID of GeoMx Lab Worksheet File,Synapse ID of GeoMx DSP Config File
+NanoStringGeoMxAuxiliaryFiles,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPImaging.csv b/modules/templates/NanoStringGeoMxDSPImaging.csv
new file mode 100644
index 00000000..695c29ff
--- /dev/null
+++ b/modules/templates/NanoStringGeoMxDSPImaging.csv
@@ -0,0 +1,2 @@
+Component,NanoStringGeoMxDSPImaging_id,Filename,NanoStringGeoMxDSPLevel1 Key,NanoStringGeoMxDSPLevel2 Key,NanoStringGeoMxAuxiliaryFiles Key,NanoStringGeoMXROISegmentAnnotation Key,GeoMx Imaging Channel Names
+NanoStringGeoMxDSPImaging,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPImagingLevel2.csv b/modules/templates/NanoStringGeoMxDSPImagingLevel2.csv
new file mode 100644
index 00000000..093b7c01
--- /dev/null
+++ b/modules/templates/NanoStringGeoMxDSPImagingLevel2.csv
@@ -0,0 +1,2 @@
+Component,NanoStringGeoMxDSPImagingLevel2_id,Project Key,Study Key,Filename,File Format,Parent Biospecimen ID,Synapse ID of Data File,Synapse ID of GeoMx ROI Segment Annotation File,ROI Name,AOI Name,Imaging Channel Names
+NanoStringGeoMxDSPImagingLevel2,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPLevel1.csv b/modules/templates/NanoStringGeoMxDSPLevel1.csv
new file mode 100644
index 00000000..5bf23135
--- /dev/null
+++ b/modules/templates/NanoStringGeoMxDSPLevel1.csv
@@ -0,0 +1,2 @@
+Component,NanoStringGeoMxDSPLevel1_id,NanoStringGeoMxAuxiliaryFiles Key,NanoStringGeoMXROISegmentAnnotation Key,Filename,GeoMx DSP Assay Type,NGS Target Sequencing Depth,NGS Read Length,NGS Sequencing Platform,NGS Library Selection Method,NGS Library Preparation Kit Name,NGS Library Preparation Kit Vendor,NGS Library Preparation Kit Version
+NanoStringGeoMxDSPLevel1,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPLevel2.csv b/modules/templates/NanoStringGeoMxDSPLevel2.csv
new file mode 100644
index 00000000..4711f36f
--- /dev/null
+++ b/modules/templates/NanoStringGeoMxDSPLevel2.csv
@@ -0,0 +1,2 @@
+Component,NanoStringGeoMxDSPLevel2_id,Filename,NanoStringGeoMxDSPLevel1 Key,NanoStringGeoMxAuxiliaryFiles Key,NanoStringGeoMXROISegmentAnnotation Key,GeoMx DSP Assay Type,Software and Version,Genomic Reference,NGS Sequencing Platform,NGS Library Selection Method,NGS Library Preparation Kit Name,NGS Library Preparation Kit Vendor,NGS Library Preparation Kit Version
+NanoStringGeoMxDSPLevel2,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPLevel3.csv b/modules/templates/NanoStringGeoMxDSPLevel3.csv
new file mode 100644
index 00000000..38b6e0d2
--- /dev/null
+++ b/modules/templates/NanoStringGeoMxDSPLevel3.csv
@@ -0,0 +1,2 @@
+Component,NanoStringGeoMxDSPLevel3_id,Filename,NanoStringGeoMxDSPLevel1 Key,NanoStringGeoMxDSPLevel2 Key,NanoStringGeoMxAuxiliaryFiles Key,NGS Unique Probe Count,NGS Unique Target Count,NGS Matrix Type,Workflow Type,Workflow Parameter Description,Workflow Link
+NanoStringGeoMxDSPLevel3,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/PersonView.csv b/modules/templates/PersonView.csv
new file mode 100644
index 00000000..3c426a2b
--- /dev/null
+++ b/modules/templates/PersonView.csv
@@ -0,0 +1,2 @@
+Component,PersonView_id,GrantView Key,Person Consortium Name,Name,Alternative Names,Email,Url,Orcid Id,Synapse Profile Id,Last Known Institution,Working Group Participation,Chair Roles,Consent For Portal Display,Portal Display,Person Publications,Person Datasets,Person Tools,Person Educational Resources
+PersonView,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ProjectView.csv b/modules/templates/ProjectView.csv
new file mode 100644
index 00000000..fe5fb134
--- /dev/null
+++ b/modules/templates/ProjectView.csv
@@ -0,0 +1,2 @@
+Component,ProjectView_id,GrantView Key,Project Name,Project Type,Project Description,Project Investigator
+ProjectView,,,,,,
\ No newline at end of file
diff --git a/modules/templates/PublicationView.csv b/modules/templates/PublicationView.csv
new file mode 100644
index 00000000..fb16391a
--- /dev/null
+++ b/modules/templates/PublicationView.csv
@@ -0,0 +1,2 @@
+Component,PublicationView_id,Study Key,Publication Doi,Publication Journal,Pubmed Id,Pubmed Url,Publication Title,Publication Year,Publication Keywords,Publication Authors,Publication Abstract,Publication Assay,Publication Tumor Type,Publication Tissue,Publication Accessibility
+PublicationView,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/SequencingLevel1.csv b/modules/templates/SequencingLevel1.csv
new file mode 100644
index 00000000..5a4e3874
--- /dev/null
+++ b/modules/templates/SequencingLevel1.csv
@@ -0,0 +1,2 @@
+Component,SequencingLevel1_id,Filename,NGS Library Strategy,NGS Library Source,NGS Library Selection Method,NGS Library Layout,NGS Sequencing Platform,NGS Sequencing Design Description,NGS Library Preparation Kit Name,NGS Library Preparation Kit Vendor,NGS Library Preparation Kit Version,NGS Read Indicator,NGS Library Preparation Days from Index,NGS Sequencing Library Construction Days from Index
+SequencingLevel1,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/SequencingLevel2.csv b/modules/templates/SequencingLevel2.csv
new file mode 100644
index 00000000..e71a04bd
--- /dev/null
+++ b/modules/templates/SequencingLevel2.csv
@@ -0,0 +1,2 @@
+Component,SequencingLevel2_id,SequencingLevel1 Key,Filename,NGS Library Strategy,NGS Library Source,NGS Library Selection Method,NGS Library Layout,NGS Sequencing Platform,NGS Sequencing Design Description,NGS Raw reads,NGS Stitched reads,NGS Aligned reads,NGS Deduplicated reads,NGS Trimmed reads,NGS MapQ30,NGS Unique Bases,NGS Read Length,NGS Sequencing Coverage,Genomic Reference,Software and Version
+SequencingLevel2,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/SequencingLevel3.csv b/modules/templates/SequencingLevel3.csv
new file mode 100644
index 00000000..053d8141
--- /dev/null
+++ b/modules/templates/SequencingLevel3.csv
@@ -0,0 +1,2 @@
+Component,SequencingLevel3_id,SequencingLevel2 Key,Filename,NGS Unique Probe Count,NGS Unique Target Count,NGS Matrix Type,Software and Version
+SequencingLevel3,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/Study.csv b/modules/templates/Study.csv
new file mode 100644
index 00000000..7abf7c45
--- /dev/null
+++ b/modules/templates/Study.csv
@@ -0,0 +1,2 @@
+Component,Study_id,GrantView Key,ProjectView Key,Study dbGaP Accession Id,Study Name,Study Description,Study Investigator,PersonView Key,Study Number of Participants,Study De-identification Method Type,Study De-identification Method Description,Study De-identification Method Software,Study Reuse Statement,Study Data Use Codes,Study License
+Study,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ToolView.csv b/modules/templates/ToolView.csv
new file mode 100644
index 00000000..644f2044
--- /dev/null
+++ b/modules/templates/ToolView.csv
@@ -0,0 +1,2 @@
+Component,ToolView_id,Study key,DatasetView Key,PublicationView Key,Tool Name,Tool Description,Tool Homepage,Tool Version,Tool Operation,Tool Input Data,Tool Output Data,Tool Input Format,Tool Output Format,Tool Function Note,Tool Cmd,Tool Type,Tool Topic,Tool Operating System,Tool Language,Tool License,Tool Cost,Tool Accessibility,Tool Download Url,Tool Download Type,Tool Download Note,Tool Download Version,Tool Documentation Url,Tool Documentation Type,Tool Documentation Note,Tool Link Url,Tool Link Type,Tool Link Note,Tool Date Last Modified,Tool Release Date,Tool Package Dependencies,Tool Package Dependencies Present,Tool Compute Requirements,Tool Entity Name,Tool Entity Type,Tool Entity Role
+ToolView,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/tool/annotationProperty.csv b/modules/tool/annotationProperty.csv
index 3afbc3d2..c02f0dd2 100644
--- a/modules/tool/annotationProperty.csv
+++ b/modules/tool/annotationProperty.csv
@@ -1,42 +1,46 @@
-Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules
-Tool Accessibility,Whether there are non-monetary restrictions on accessing an online service.,"Open Access, Open Access (With Restrictions), Restricted Access",,FALSE,,,,biotoolsschema,
-Tool Cmd,"Relevant command, command-line fragment, or option for executing this function/running the tool in this mode.",,,FALSE,,,,biotoolsschema,
-Tool Compute Requirements,"Component dependency requirements for application. This includes runtime environments and shared libraries that are not included in the application distribution package, but required to run the application (examples: DirectX, Java or .NET runtime).",,,FALSE,,,,schema.org,"list like, url"
-Tool Cost,Monetary cost of acquiring the software.,"Commercial, Free of Charge, Free of Charge (With Restrictions)",,FALSE,,,,biotoolsschema,
-Tool Date Last Modified,"The date indicating when the tool's entry was most recently modified or updated, providing a timestamp of the latest changes made to the tool's information.",,,FALSE,,,,schema.org,date
-Tool Description,Textual description of the tool.,,,TRUE,,,,biotoolsschema,
-Tool Documentation Note,Comment about the documentation.,,,FALSE,,,,biotoolsschema,
-Tool Documentation Type,"Type of documentation that is linked to. Multiple values permitted, comma separated.","API Documentation, Citation Instructions, Code of Conduct, Command-Line Options, Contributions Policy, FAQ, General, Governance, Installation Instructions, Other, Quick Start Guide, Release Notes, Terms of Use, Training Material, User Manual",,FALSE,,,,biotoolsschema,list like
-Tool Documentation Url,Link to documentation on the web for the tool.,,,FALSE,,,,biotoolsschema,
-Tool Download Note,Comment about the download.,,,FALSE,,,,biotoolsschema,
-Tool Download Type,"The type of data, information, or system that is obtained when the link is resolved.","API Specification, Binaries, Biological Data, Command-Line Specification, Container File, Downloads Page, Icon, Other, Screenshot, Software Package, Source Code, Test Data, Test Script, Tool Wrapper (CWL), Tool Wrapper (Galaxy), Tool Wrapper (Taverna), Tool wrapper (Other), VM Image",,FALSE,,,,biotoolsschema,
-Tool Download Url,Link to download (or repo providing a download) for the software.,,,FALSE,,,,biotoolsschema,
-Tool Download Version,Version information (typically a version number) of the software applicable to this download.,,,FALSE,,,,biotoolsschema,
-Tool Entity Name,Name of the entities that may be credited,,,FALSE,,,,,list like
-Tool Entity Role,"Role performed by entity that is credited, e.g. βDeveloperβ","Developer, Maintainer, Provider, Documentor, Contributor, Support, Primary Contact",,TRUE,,,,biotoolsschema,list like
-Tool Entity Type,"Types of entities that may be credited, e.g. βPersonβ.","Person, Project, Division, Institute, Research Consortium, Funding Agency",,TRUE,,,,biotoolsschema,list like
-Tool Function Note,"Concise comment about this function, if not apparent from the software description and EDAM annotations.",,,FALSE,,,,biotoolsschema,
-Tool Grant Number,"Grant number associated with the tool's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,TRUE,,,,,list like
-Tool Homepage,"Homepage of the software, or some URL that best serves this purpose.",,,TRUE,,,,biotoolsschema,url
-Tool Input Data,"Type of primary input data. Multiple values permitted, comma separated.","Accession, Alignment, Biological Model ID, Biological Model Name, Cell Line Name, Cell Migration Track Image, Cell Type Identifier, Cell Type Name, Cell Type Ontology ID, Chromosome Name, Chromosome Report, Clustered Expression Profiles, Codon Number, Comparison Matrix, Compound Identifier, Compound Name, Concentration, Count Matrix, DNA Sequence, Data Index, Data Reference, Database Search Results, Drug Identifier, Drug Name, Drug Report, Electronic Health Record, Enzyme Kinetics Data, Experimental Measurement, Expression Data, GO-Term Enrichment Data, Gene Expression Matrix, Gene Expression Profile, Gene ID, Gene ID (NCBI), Gene Identifier, Gene Name, Gene Report, Gene Symbol, Gene Tree, Genetic Map, Genotype/Phenotype Report, Heat Map, Hidden Markov Model, Hierarchy, Histogram, Identifier, Image, Image Metadata, Kinetic Model, MRI Image, Map, Map Data, Mass Spectrometry Data, Mass Spectrum, Mathematical Model, Matrix, Molecular Property, Molecular Simulation Data, Molecule Identifier, Molecule Name, Morphology Parameter, Mutation ID, Not Applicable, Nucleic Acid Identifier, Nucleic Acid Report, Nucleic Acid Sequence, Ontology, Ontology Concept Data, Ontology Data, Ontology Identifier, Ontology Mapping, Ontology Name, Ontology Term, Organism Identifier, Organism Name, Over-Represesntation Data, P-Value, Pair Sequence Alignment, Pathway Or Network, Pathway Or Network Report, Pathway Overrepresentation Data, Peptide Identification, Peptide Property, Phenotype Name, Phylogenetic Data, Phylogenetic Tree, Plain Text, Plot, Position Weight Matrix, Position-Specific Scoring Matrix, Protein Contact Map, Protein Identifier, Protein Interaction Data, Protein Name, Protein Property, Protein Report, Protein Sequence, Protein Structure Report, Quality Control Report, RNA Sequence, Raw Image, Reaction Data, RefSeq Accession, Report, Resource Metadata, Sample Annotation, Sample ID, Score, Sequence, Sequence Alignment, Sequence Attribute, Sequence Cluster, Sequence Composition Plot, Sequence Composition Report, Sequence Coordinates, Sequence Features, Sequence Image, Sequence Motif, Sequence Position, Sequence Property, Sequence Range, Sequence Record, Sequence Report, Sequence Search Results, Sequence Set, Sequence Signature Data, Sequence Similarity, Sequence Similarity Score, Sequence Variations, Simulation, Small Molecule Report, Spectrum, Statistical Estimate Score, Strain Identifier, Strain Name, Structure, Structure Report, Taxonomy, Text Data, Text Mining Report, Topology Data, Training Material, Trajectory Data, Transcription Factor Identifier, Transcription Factor Name, Vmax, dbSNP ID",,TRUE,,,,biotoolsschema,list like
-Tool Input Format,"Allowed format(s) of the input data. Multiple values permitted, comma separated.","Alignment Format, Alignment Format (Pair Only), Alignment Format (Text), Annotated Text Format, Antimony, BAM, BCF, BED, BLAST Results, BNGL, Binary Format, Biological Model Format, Biological Pathway Or Network Format, CSV, Chemical Data Format, Cytoband Format, Cytoscape Input File Format, DCC, DCD, DSV, Database Hits (Sequence) Format , Docker Image Format, Document Format, Dot-Bracket Format, FASTA, FASTQ, FASTQ-Illumina, FCS, GCT/Res Format, GFF, GFF3, GIF, GML, GTF, Gene Annotation Format, Gene Cluster Format, Gene Expression Report Format, Genotype And Phenotype Annotation Format, Graph Format, H5AD, HDF, HDF5, HTML, Hidden Markov Model Format, Image Format, Individual Genetic Data Format, JPG, JSON, LSM, MAF, MAGE-ML, MAGE-TAB, MAT, MATLAB Script, MSF, Map Format, Mass Spectrometry Data Format, Matrix Format, NIFTI Format, Nexus Format, Not Applicable, NumPy Format, OME-TIFF, Ontology Format, PDF, PNG, PS, PSF, Phylip Format, Phylip Format Variant, Phylogenetic Tree Format, Phylogenetic Tree Format (Text), Protein Interaction Format, Python Script, R File Format, R Script, RDS, RNA Annotation Format, RNA Secondary Structure Format, RPKM, Raw Sequence Format, SAM, SBML, SQLite Format, SVG, Scores Format, Sequence Annotation Track Format, Sequence Cluster Format, Sequence Cluster Format (Protein), Sequence Feature Annotation Format, Sequence Feature Table Format, Sequence Feature Table Format (Text), Sequence Profile Format, Sequence Range Format, Sequence Record Format, Sequence Trace Format, Sequence Variation Annotation Format, TIFF, TSV, TXT, Tertiary Structure Format, Textual Format, Topology Format, Trajectory Format, VCF, Workflow Format, XML, YAML, bedgraph, bigWig, cel, imzML Metadata File, mzML, nii, pkl, sif, xls, xlsx, PDB, HED, MRC, Unspecified",,TRUE,,,,biotoolsschema,list like
-Tool Language,"Name of programming language the software source code was written in. Multiple values permitted, comma separated.","AWK, ActionScript, Ada, AppleScript, Assembly Language, Bash, C, C#, C++, COBOL, CSS, CWL, ColdFusion, D, Delphi, Dockerfile, Dylan, Eiffel, Elm, Forth, Fortran, Go, Groovy, HTML, Haskell, Icarus, JSP, Java, JavaScript, Julia, LabVIEW, Lisp, Lua, MATLAB, MLXTRAN, Maple, Mathematica, NMTRAN, Netlogo, Nextflow, Ocaml, OpenEdge ABL, Other, PHP, Pascal, Perl, PostScript, PowerShell, Prolog, PyMOL, Python, R, REXX, Racket, Ruby, SAS, SQL, Scala, Scheme, Shell, TeX, Turing, VHDL, Verilog, Visual Basic, WDL, XAML",,FALSE,,,,biotoolsschema,list like
-Tool License,"Software or data usage license. Multiple values permitted, comma separated.","AAL, ADSL, AFL-1.1, AFL-1.2, AFL-2.0, AFL-2.1, AFL-3.0, AGPL-1.0, AGPL-3.0, AMDPLPA, AML, AMPAS, ANTLR-PD, APAFML, APL-1.0, APSL-1.0, APSL-1.1, APSL-1.2, APSL-2.0, Abstyles, Adobe-2006, Adobe-Glyph, Afmparse, Aladdin, Apache-1.0, Apache-1.1, Apache-2.0, Artistic-1.0, Artistic-1.0-Perl, Artistic-1.0-cl8, Artistic-2.0, BSD-2-Clause, BSD-2-Clause-FreeBSD, BSD-2-Clause-NetBSD, BSD-3-Clause, BSD-3-Clause-Attribution, BSD-3-Clause-Clear, BSD-3-Clause-LBNL, BSD-3-Clause-No-Nuclear-License, BSD-3-Clause-No-Nuclear-License-2014, BSD-3-Clause-No-Nuclear-Warranty, BSD-4-Clause, BSD-4-Clause-UC, BSD-Protection, BSD-Source-Code, BSD-style, BSL-1.0, Bahyph, Barr, Beerware, BitTorrent-1.0, BitTorrent-1.1, Borceux, CATOSL-1.1, CC-BY-1.0, CC-BY-2.0, CC-BY-2.5, CC-BY-3.0, CC-BY-4.0, CC-BY-NC-1.0, CC-BY-NC-2.0, CC-BY-NC-2.5, CC-BY-NC-3.0, CC-BY-NC-4.0, CC-BY-NC-ND-1.0, CC-BY-NC-ND-2.0, CC-BY-NC-ND-2.5, CC-BY-NC-ND-3.0, CC-BY-NC-ND-4.0, CC-BY-NC-SA-1.0, CC-BY-NC-SA-2.0, CC-BY-NC-SA-2.5, CC-BY-NC-SA-3.0, CC-BY-NC-SA-4.0, CC-BY-ND-1.0, CC-BY-ND-2.0, CC-BY-ND-2.5, CC-BY-ND-3.0, CC-BY-ND-4.0, CC-BY-SA-1.0, CC-BY-SA-2.0, CC-BY-SA-2.5, CC-BY-SA-3.0, CC-BY-SA-4.0, CC0-1.0, CDDL-1.0, CDDL-1.1, CECILL-1.0, CECILL-1.1, CECILL-2.0, CECILL-2.1, CECILL-B, CECILL-C, CNRI-Jython, CNRI-Python, CNRI-Python-GPL-Compatible, CPAL-1.0, CPL-1.0, CPOL-1.02, CUA-OPL-1.0, Caldera, ClArtistic, Condor-1.1, Crossword, CrystalStacker, Cube, D-FSL-1.0, DOC, DSDP, Dotseqn, ECL-1.0, ECL-2.0, EFL-1.0, EFL-2.0, EPL-1.0, EUDatagrid, EUPL-1.0, EUPL-1.1, Entessa, ErlPL-1.1, Eurosym, FSFAP, FSFUL, FSFULLR, FTL, Fair, Frameworx-1.0, FreeImage, Freeware, GFDL-1.1, GFDL-1.2, GFDL-1.3, GL2PS, GPL-1.0, GPL-2.0, GPL-3.0, Giftware, Glide, Glulxe, HPND, HaskellReport, IBM-pibs, ICU, IJG, IPA, IPL-1.0, ISC, ImageMagick, Imlib2, Info-ZIP, Intel, Intel-ACPI, Interbase-1.0, JSON, JasPer-2.0, LAL-1.2, LAL-1.3, LGPL-2.0, LGPL-2.1, LGPL-3.0, LGPLLR, LPL-1.0, LPL-1.02, LPPL-1.0, LPPL-1.1, LPPL-1.2, LPPL-1.3a, LPPL-1.3c, Latex2e, Leptonica, LiLiQ-P-1.1, LiLiQ-R-1.1, LiLiQ-Rplus-1.1, Libpng, MIT, MIT-CMU, MIT-advertising, MIT-enna, MIT-feh, MITNFA, MPL-1.0, MPL-1.1, MPL-2.0, MPL-2.0-no-copyleft-exception, MS-PL, MS-RL, MTLL, MakeIndex, MirOS, Motosoto, Multics, Mup, NASA-1.3, NBPL-1.0, NCSA, NGPL, NLOD-1.0, NLPL, NOSL, NPL-1.0, NPL-1.1, NPOSL-3.0, NRL, NTP, Naumen, NetCDF, Newsletr, Nokia, Not licensed, Noweb, Nunit, OCCT-PL, OCLC-2.0, ODbL-1.0, OFL-1.0, OFL-1.1, OGTSL, OLDAP-1.1, OLDAP-1.2, OLDAP-1.3, OLDAP-1.4, OLDAP-2.0, OLDAP-2.0.1, OLDAP-2.1, OLDAP-2.2, OLDAP-2.2.1, OLDAP-2.2.2, OLDAP-2.3, OLDAP-2.4, OLDAP-2.5, OLDAP-2.6, OLDAP-2.7, OLDAP-2.8, OML, OPL-1.0, OSET-PL-2.1, OSL-1.0, OSL-1.1, OSL-2.0, OSL-2.1, OSL-3.0, OpenSSL, Other, PDDL-1.0, PHP-3.0, PHP-3.01, Plexus, PostgreSQL, Proprietary, Python-2.0, QPL-1.0, Qhull, RHeCos-1.1, RPL-1.1, RPL-1.5, RPSL-1.0, RSA-MD, RSCPL, Rdisc, Ruby, SAX-PD, SCEA, SGI-B-1.0, SGI-B-1.1, SGI-B-2.0, SISSL, SISSL-1.2, SMLNJ, SMPPL, SNIA, SPL-1.0, SWL, Saxpath, Sendmail, SimPL-2.0, Sleepycat, Spencer-86, Spencer-94, Spencer-99, SugarCRM-1.1.3, TCL, TMate, TORQUE-1.1, TOSL, UPL-1.0, Unicode-TOU, Unlicense, VOSTROM, VSL-1.0, Vim, W3C, W3C-19980720, WTFPL, Watcom-1.0, Wsuipa, X11, XFree86-1.1, XSkat, Xerox, Xnet, YPL-1.0, YPL-1.1, ZPL-1.1, ZPL-2.0, ZPL-2.1, Zed, Zend-2.0, Zimbra-1.3, Zimbra-1.4, Zlib, bzip2-1.0.5, bzip2-1.0.6, curl, diffmark, dvipdfm, eGenix, gSOAP-1.3b, gnuplot, iMatix, libtiff, mpich2, psfrag, psutils, xinetd, xpp, zlib-acknowledgement",,FALSE,,,,biotoolsschema,list like
-Tool Link Note,Comment about the link.,,,FALSE,,,,biotoolsschema,
-Tool Link Type,"The type of data, information or system that is obtained when the link is resolved. Multiple values permitted, comma separated.","Discussion Forum, Galaxy Service, Helpdesk, Issue Tracker, Mailing list, Mirror, Other, Repository, Service, Social Media, Software Catalogue, Technical Monitoring",,FALSE,,,,biotoolsschema,list like
-Tool Link Url,A link of some relevance to the software (URL).,,,FALSE,,,,biotoolsschema,
-Tool Name,Canonical tool name provided by the tool developer or service provider.,,,TRUE,,,,biotoolsschema,unique
-Tool Operating System,"The operating system supported by a downloadable software package. Multiple values permitted, comma separated.","Linux, Mac, Windows",,FALSE,,,,biotoolsschema,list like
-Tool Operation,"The basic operation(s) performed by this software function. Multiple values permitted, comma separated.","Aggregation, Allele Frequency Distribution Analysis, Analysis, Annotation, Box-Whisker Plot Plotting, Calculation, Cell Migration Analysis, Cell Modelling, Cell Number Quantification, Cell Type Enrichment Analysis, Classification, Clustering, Clustering Profile Plotting, Comparison, Conversion, Copy Number Variation Detection, Correlation, DNA Barcoding, Data Handling, Data Retrieval, Database Search, De Novo Sequencing, Demultiplexing, Differential Gene Expression Profiling, Differential Protein Expression Profiling, Dimensionality Reduction, Editing, Enrichment Analysis, Expression Analysis, Expression Correlation Analysis, Expression Data Visualisation, Expression Profile Clustering, Expression Profile Comparison, Functional Clustering, Gene Expression Profiling, Gene Methylation Analysis, Gene Regulatory Network Analysis, Gene Regulatory Network Prediction, Gene-Set Enrichment Analysis, Generation, Genetic Mapping, Genetic Variation Analysis, Genome Analysis, Genome Annotation, Genome Visualisation, Genotyping, Heat Map Generation, Image Analysis, Imputation, Incident Curve Plotting, Information Retrieval, Linkage Analysis, Mapping, Metabolic Pathway Prediction, Methylation Analysis, Microscope Image Visualisation, Modelling and Simulation, Molecular Dynamics, Network Analysis, Network Visualisation, Nucleic Acid Feature Detection, Nucleic Acid Sequence Analysis, Nucleosome Position Prediction, Ontology Visualisation, Pathway Analysis, Pathway Modelling, Peak Calling, Phylogenetic Analysis, Prediction and Recognition, Principal Component Analysis, Protein Comparison, Protein Function Comparison, Protein Function Prediction, Protein Identification, Protein Interaction Network Analysis, Protein Quantification, Protein-Protein Interaction Analysis, Quantification, Query and Retrieval, RNA Secondary Structure Prediction, RNA-Seq Analysis, RNA-Seq Quantification, Regression Analysis, SNP Annotation, SNP Detection, Scatter Plot Plotting, Sequence Alignment Analysis, Sequence Alignment Comparison, Sequence Analysis, Sequence Annotation, Sequence Classification, Sequence Cluster Visualisation, Sequence Clustering, Sequence Comparison, Sequence Composition Calculation, Sequence Editing, Sequence File Editing, Sequence Read Processing, Sequencing Quality Control, Simulated Gene Expression Data Generation, Sorting, Spectral Analysis, Standardisation and Normalisation, Statistical Calculation, Statistical Inference, Statistical Modelling, Structural Variation Detection, Structure Analysis, Text Mining, Tissue Modelling, Validation, Variant Calling, Variant Classification, Variant Effect Prediction, Visualisation, scRNA-Seq Analysis, Agent-Based Cell Modelling, Not Applicable",,TRUE,,,,biotoolsschema,list like
-Tool Output Data,"Type of primary output data. Multiple values permitted, comma separated.","Accession, Alignment, Biological Model ID, Biological Model Name, Cell Line Name, Cell Migration Track Image, Cell Type Identifier, Cell Type Name, Cell Type Ontology ID, Chromosome Name, Chromosome Report, Clustered Expression Profiles, Codon Number, Comparison Matrix, Compound Identifier, Compound Name, Concentration, Count Matrix, DNA Sequence, Data Index, Data Reference, Database Search Results, Drug Identifier, Drug Name, Drug Report, Electronic Health Record, Enzyme Kinetics Data, Experimental Measurement, Expression Data, GO-Term Enrichment Data, Gene Expression Matrix, Gene Expression Profile, Gene ID, Gene ID (NCBI), Gene Identifier, Gene Name, Gene Report, Gene Symbol, Gene Tree, Genetic Map, Genotype/Phenotype Report, Heat Map, Hidden Markov Model, Hierarchy, Histogram, Identifier, Image, Image Metadata, Kinetic Model, MRI Image, Map, Map Data, Mass Spectrometry Data, Mass Spectrum, Mathematical Model, Matrix, Molecular Property, Molecular Simulation Data, Molecule Identifier, Molecule Name, Morphology Parameter, Mutation ID, Not Applicable, Nucleic Acid Identifier, Nucleic Acid Report, Nucleic Acid Sequence, Ontology, Ontology Concept Data, Ontology Data, Ontology Identifier, Ontology Mapping, Ontology Name, Ontology Term, Organism Identifier, Organism Name, Over-Represesntation Data, P-Value, Pair Sequence Alignment, Pathway Or Network, Pathway Or Network Report, Pathway Overrepresentation Data, Peptide Identification, Peptide Property, Phenotype Name, Phylogenetic Data, Phylogenetic Tree, Plain Text, Plot, Position Weight Matrix, Position-Specific Scoring Matrix, Protein Contact Map, Protein Identifier, Protein Interaction Data, Protein Name, Protein Property, Protein Report, Protein Sequence, Protein Structure Report, Quality Control Report, RNA Sequence, Raw Image, Reaction Data, RefSeq Accession, Report, Resource Metadata, Sample Annotation, Sample ID, Score, Sequence, Sequence Alignment, Sequence Attribute, Sequence Cluster, Sequence Composition Plot, Sequence Composition Report, Sequence Coordinates, Sequence Features, Sequence Image, Sequence Motif, Sequence Position, Sequence Property, Sequence Range, Sequence Record, Sequence Report, Sequence Search Results, Sequence Set, Sequence Signature Data, Sequence Similarity, Sequence Similarity Score, Sequence Variations, Simulation, Small Molecule Report, Spectrum, Statistical Estimate Score, Strain Identifier, Strain Name, Structure, Structure Report, Taxonomy, Text Data, Text Mining Report, Topology Data, Training Material, Trajectory Data, Transcription Factor Identifier, Transcription Factor Name, Vmax, dbSNP ID",,TRUE,,,,biotoolsschema,list like
-Tool Output Format,"Allowed format(s) of the output data. Multiple values permitted, comma separated.","Alignment Format, Alignment Format (Pair Only), Alignment Format (Text), Annotated Text Format, Antimony, BAM, BCF, BED, BLAST Results, BNGL, Binary Format, Biological Model Format, Biological Pathway Or Network Format, CSV, Chemical Data Format, Cytoband Format, Cytoscape Input File Format, DCC, DCD, DSV, Database Hits (Sequence) Format , Docker Image Format, Document Format, Dot-Bracket Format, FASTA, FASTQ, FASTQ-Illumina, FCS, GCT/Res Format, GFF, GFF3, GIF, GML, GTF, Gene Annotation Format, Gene Cluster Format, Gene Expression Report Format, Genotype And Phenotype Annotation Format, Graph Format, H5AD, HDF, HDF5, HTML, Hidden Markov Model Format, Image Format, Individual Genetic Data Format, JPG, JSON, LSM, MAF, MAGE-ML, MAGE-TAB, MAT, MATLAB Script, MSF, Map Format, Mass Spectrometry Data Format, Matrix Format, NIFTI Format, Nexus Format, Not Applicable, NumPy Format, OME-TIFF, Ontology Format, PDF, PNG, PS, PSF, Phylip Format, Phylip Format Variant, Phylogenetic Tree Format, Phylogenetic Tree Format (Text), Protein Interaction Format, Python Script, R File Format, R Script, RDS, RNA Annotation Format, RNA Secondary Structure Format, RPKM, Raw Sequence Format, SAM, SBML, SQLite Format, SVG, Scores Format, Sequence Annotation Track Format, Sequence Cluster Format, Sequence Cluster Format (Protein), Sequence Feature Annotation Format, Sequence Feature Table Format, Sequence Feature Table Format (Text), Sequence Profile Format, Sequence Range Format, Sequence Record Format, Sequence Trace Format, Sequence Variation Annotation Format, TIFF, TSV, TXT, Tertiary Structure Format, Textual Format, Topology Format, Trajectory Format, VCF, Workflow Format, XML, YAML, bedgraph, bigWig, cel, imzML Metadata File, mzML, nii, pkl, sif, xls, xlsx, PDB, HED, MRC, Unspecified",,TRUE,,,,biotoolsschema,list like
-Tool Package Dependencies,"Specifies the software libraries, frameworks, or other components that a tool or package relies on for its proper functioning. This attribute helps users understand the prerequisites needed for installation and usage of the tool within a given computational environment",,,FALSE,,,,CWL,list like
-Tool Package Dependencies Present,Indicates whether the required package dependencies for tool are present.,"True, False",,TRUE,,,,CWL,
-Tool Grant Number,"Grant number associated with the tool's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,TRUE,,,,,list like
-Tool Pubmed Id,The pubMed identifer associated with the development of the tool.,,,FALSE,,,,,int
-Tool Release Date,The release date of a product or product model. This can be used to distinguish the exact variant of a product.,,,TRUE,,,,schema.org,date
-Tool Topic,"General scientific domain the software serves, or other general category. Multiple values permitted, comma separated.","Allergy Clinical Immunology and Immunotherapeutics, Biochemistry, Bioimaging, Bioinformatics, Biological Databases, Biology, Biomedical Science, Biomolecular Simulation, Biophysics, Biotechnology, Biotherapeutics, Cell Biology, Cell Culture Collection, Chemistry, Chip-Seq, Chromosome Conformation Capture, Comparative Genomics, Compound Libraries and Screening, Computational Biology, Computer Science, Cytogenetics, Cytometry, DNA, DNA Mutation, DNA Packaging, DNA Polymorphism, Data Architecture Analysis and Design, Data Identity and Mapping, Data Mining, Data Submission Annotation and Curation, Data Visualisation, Developmental Biology, Drug Development, Drug Discovery, Drug Metabolism, Electron Microscopy, Epigenetics, Evolutionary Biology, Exome Sequencing, Experimental Design and Studies, Function Analysis, Functional Genomics, Functional Regulatory and Non-Coding RNA, GWAS Study, Gene Expression, Gene Regulation, Gene Structure, Gene Transcripts, Gene and Protein Families, Genetic Engineering, Genetic Variation, Genetics, Genomics, Genotype and Phenotype, Imaging, Immunoinformatics, Immunology, Immunomics, Immunoprecipitation Experiment, Immunoproteins and Antigens, Infectious Disease, Informatics, Laboratory Techniques, Light Microscopy, Lipids, Machine Learning, Mapping, Mathematics, Medical Imaging, Medical Informatics, Medicine, Medicines Research and Development, Membrane and Lipoproteins, Metagenomics, Molecular Biology, Molecular Genetics, Molecular Interactions Pathways and Networks, Nucleic Acid Structure Analysis, Nucleic Acids, Omics, Oncology, Ontology and Terminology, Pathology, Pharmacogenomics, Pharmacology, Pharmacovigilance, Phylogenetics, Phylogenomics, Phylogeny, Preclinical and Clinical Studies, Probes and Primers, Protein Expression, Protein Modifications, Protein Properties, Proteins, Proteomics, Proteomics Experiment, RNA, RNA-Seq, Safety Sciences, Sample Collections, Sequence Analysis, Sequencing, Simulation Experiment, Software Engineering, Statistics and Probability, Structural Analysis, Structural Biology, Systems Biology, Transcription Factors and Regulatory Sites, Transcriptomics, Virology, Whole Genome Sequencing, Workflows, scRNA-Seq",,FALSE,,,,biotoolsschema,list like
-Tool Type,"A type of application software: a discrete software entity can have more than one type. Multiple values permitted, comma separated.","Bioinformatics Portal, Command-Line Tool, Database Portal, Desktop Application, Library, Notebook, Ontology, Other, Plug-In, SPARQL Endpoint, Script, Serialized Model, Suite, Web API, Web Application, Web Service, Workbench, Workflow",,FALSE,,,,biotoolsschema,list like
-Tool Version,Version information (typically a version number) of the software applicable to this entry.,,,FALSE,,,,biotoolsschema,
-Tool View,The denormalized manifest for tool submission.,,"Component, ToolView_id, Study key, DatasetView Key, PublicationView Key, Tool Name, Tool Description, Tool Homepage, Tool Version, Tool Operation, Tool Input Data, Tool Output Data, Tool Input Format, Tool Output Format, Tool Function Note, Tool Cmd, Tool Type, Tool Topic, Tool Operating System, Tool Language, Tool License, Tool Cost, Tool Accessibility, Tool Download Url, Tool Download Type, Tool Download Note, Tool Download Version, Tool Documentation Url, Tool Documentation Type, Tool Documentation Note, Tool Link Url, Tool Link Type, Tool Link Note, Tool Date Last Modified, Tool Release Date, Tool Package Dependencies, Tool Package Dependencies Present, Tool Compute Requirements, Tool Entity Name, Tool Entity Type, Tool Entity Role",FALSE,,,Study,,
-ToolView_id,A unique primary key that enables record updates using schematic.,,,TRUE,,,,,unique
+Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
+Tool Accessibility,Whether there are non-monetary restrictions on accessing an online service.,"Open Access, Open Access (With Restrictions), Restricted Access",,False,,,,biotoolsschema,,"Tool Accessibility: Open Access (With Restrictions) - The company's data analytics tool is open to all employees, but access to certain sensitive information within the tool is restricted to upper management."
+Tool Cmd,"Relevant command, command-line fragment, or option for executing this function/running the tool in this mode.",,,False,,,,biotoolsschema,,"""export GIT_TRACE=1"""
+Tool Compute Requirements,"Component dependency requirements for application. This includes runtime environments and shared libraries that are not included in the application distribution package, but required to run the application (examples: DirectX, Java or .NET runtime).",,,False,,,,schema.org,"list like, url","CPU: Intel i7, RAM: 16GB, Hard Disk Space: 500GB, Operating System: Windows 10, GPU: Nvidia GTX 1060 6GB, Internet Connection: Broadband."
+Tool Cost,Monetary cost of acquiring the software.,"Commercial, Free of Charge, Free of Charge (With Restrictions)",,False,,,,biotoolsschema,,Commercial
+Tool Date Last Modified,"The date indicating when the tool's entry was most recently modified or updated, providing a timestamp of the latest changes made to the tool's information.",,,False,,,,schema.org,date,11/04/2021 15:30:45
+Tool Description,Textual description of the tool.,,,True,,,,biotoolsschema,,"This powerful electric drill comes with a 10 amp motor, providing high performance in heavy-duty applications. This tool possesses a 1/2-inch all-metal, single-sleeve, ratcheting keyless chuck with automatic spindle lock that provides greater bit retention and tool-free convenience. Additionally, it is designed with a soft grip handle and two-finger trigger for increased comfort and greater control. This drill also features a 360-degree locking side handle with soft grip for increased maneuverability and control."
+Tool Documentation Note,Comment about the documentation.,,,False,,,,biotoolsschema,,"""This software comes with comprehensive user manuals and FAQs to assist in navigation and troubleshooting. Regular updates to the documentation are provided based on software upgrades."""
+Tool Documentation Type,"Type of documentation that is linked to. Multiple values permitted, comma separated.","API Documentation, Citation Instructions, Code of Conduct, Command-Line Options, Contributions Policy, FAQ, General, Governance, Installation Instructions, Other, Quick Start Guide, Release Notes, Terms of Use, Training Material, User Manual",,False,,,,biotoolsschema,list like,API Documentation
+Tool Documentation Url,Link to documentation on the web for the tool.,,,False,,,,biotoolsschema,,"""https://docs.google.com/spreadsheets/"""
+Tool Download Note,Comment about the download.,,,False,,,,biotoolsschema,,"""Before downloading this tool, ensure your device has adequate storage space and meets the minimum system requirements. Also, our tools may require specific software or apps to function properly. Please refer to our website for detailed information about the required software."""
+Tool Download Type,"The type of data, information, or system that is obtained when the link is resolved.","API Specification, Binaries, Biological Data, Command-Line Specification, Container File, Downloads Page, Icon, Other, Screenshot, Software Package, Source Code, Test Data, Test Script, Tool Wrapper (CWL), Tool Wrapper (Galaxy), Tool Wrapper (Taverna), Tool wrapper (Other), VM Image",,False,,,,biotoolsschema,,API Specification
+Tool Download Url,Link to download (or repo providing a download) for the software.,,,False,,,,biotoolsschema,,https://example.com/tool-download/version2.0
+Tool Download Version,Version information (typically a version number) of the software applicable to this download.,,,False,,,,biotoolsschema,,1.0.3
+Tool Entity Name,Name of the entities that may be credited,,,False,,,,,list like,Hammer
+Tool Entity Role,"Role performed by entity that is credited, e.g. βDeveloperβ","Developer, Maintainer, Provider, Documentor, Contributor, Support, Primary Contact",,True,,,,biotoolsschema,list like,"For an open-source software project, different individuals or teams could take on various roles: the 'Developer' builds and enhances the software, the 'Maintainer' ensures it is debugged and up to date, the 'Provider' supplies the software to users, the 'Documentor' creates guides and manuals, 'Contributors' improve the software, the 'Support' team assists with technical issues, and the 'Primary Contact' handles overall inquiries."
+Tool Entity Type,"Types of entities that may be credited, e.g. βPersonβ.","Person, Project, Division, Institute, Research Consortium, Funding Agency",,True,,,,biotoolsschema,list like,Person
+Tool Function Note,"Concise comment about this function, if not apparent from the software description and EDAM annotations.",,,False,,,,biotoolsschema,,"""The tool is primarily used for cutting hard materials, but can also be utilized for shaping, smoothing, and finishing tasks depending on the type of blade or attachment used."""
+Tool Grant Number,"Grant number associated with the tool's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,CA209975
+Tool Homepage,"Homepage of the software, or some URL that best serves this purpose.",,,True,,,,biotoolsschema,url,https://www.microsoft.com/en-us/windows/
+Tool Input Data,"Type of primary input data. Multiple values permitted, comma separated.","Accession, Alignment, Biological Model ID, Biological Model Name, Cell Line Name, Cell Migration Track Image, Cell Type Identifier, Cell Type Name, Cell Type Ontology ID, Chromosome Name, Chromosome Report, Clustered Expression Profiles, Codon Number, Comparison Matrix, Compound Identifier, Compound Name, Concentration, Count Matrix, DNA Sequence, Data Index, Data Reference, Database Search Results, Drug Identifier, Drug Name, Drug Report, Electronic Health Record, Enzyme Kinetics Data, Experimental Measurement, Expression Data, GO-Term Enrichment Data, Gene Expression Matrix, Gene Expression Profile, Gene ID, Gene ID (NCBI), Gene Identifier, Gene Name, Gene Report, Gene Symbol, Gene Tree, Genetic Map, Genotype/Phenotype Report, Heat Map, Hidden Markov Model, Hierarchy, Histogram, Identifier, Image, Image Metadata, Kinetic Model, MRI Image, Map, Map Data, Mass Spectrometry Data, Mass Spectrum, Mathematical Model, Matrix, Molecular Property, Molecular Simulation Data, Molecule Identifier, Molecule Name, Morphology Parameter, Mutation ID, Not Applicable, Nucleic Acid Identifier, Nucleic Acid Report, Nucleic Acid Sequence, Ontology, Ontology Concept Data, Ontology Data, Ontology Identifier, Ontology Mapping, Ontology Name, Ontology Term, Organism Identifier, Organism Name, Over-Represesntation Data, P-Value, Pair Sequence Alignment, Pathway Or Network, Pathway Or Network Report, Pathway Overrepresentation Data, Peptide Identification, Peptide Property, Phenotype Name, Phylogenetic Data, Phylogenetic Tree, Plain Text, Plot, Position Weight Matrix, Position-Specific Scoring Matrix, Protein Contact Map, Protein Identifier, Protein Interaction Data, Protein Name, Protein Property, Protein Report, Protein Sequence, Protein Structure Report, Quality Control Report, RNA Sequence, Raw Image, Reaction Data, RefSeq Accession, Report, Resource Metadata, Sample Annotation, Sample ID, Score, Sequence, Sequence Alignment, Sequence Attribute, Sequence Cluster, Sequence Composition Plot, Sequence Composition Report, Sequence Coordinates, Sequence Features, Sequence Image, Sequence Motif, Sequence Position, Sequence Property, Sequence Range, Sequence Record, Sequence Report, Sequence Search Results, Sequence Set, Sequence Signature Data, Sequence Similarity, Sequence Similarity Score, Sequence Variations, Simulation, Small Molecule Report, Spectrum, Statistical Estimate Score, Strain Identifier, Strain Name, Structure, Structure Report, Taxonomy, Text Data, Text Mining Report, Topology Data, Training Material, Trajectory Data, Transcription Factor Identifier, Transcription Factor Name, Vmax, dbSNP ID",,True,,,,biotoolsschema,list like,"Attribute: Tool Input Data
+Example: DNA Sequence"
+Tool Input Format,"Allowed format(s) of the input data. Multiple values permitted, comma separated.","Alignment Format, Alignment Format (Pair Only), Alignment Format (Text), Annotated Text Format, Antimony, BAM, BCF, BED, BLAST Results, BNGL, Binary Format, Biological Model Format, Biological Pathway Or Network Format, CSV, Chemical Data Format, Cytoband Format, Cytoscape Input File Format, DCC, DCD, DSV, Database Hits (Sequence) Format , Docker Image Format, Document Format, Dot-Bracket Format, FASTA, FASTQ, FASTQ-Illumina, FCS, GCT/Res Format, GFF, GFF3, GIF, GML, GTF, Gene Annotation Format, Gene Cluster Format, Gene Expression Report Format, Genotype And Phenotype Annotation Format, Graph Format, H5AD, HDF, HDF5, HTML, Hidden Markov Model Format, Image Format, Individual Genetic Data Format, JPG, JSON, LSM, MAF, MAGE-ML, MAGE-TAB, MAT, MATLAB Script, MSF, Map Format, Mass Spectrometry Data Format, Matrix Format, NIFTI Format, Nexus Format, Not Applicable, NumPy Format, OME-TIFF, Ontology Format, PDF, PNG, PS, PSF, Phylip Format, Phylip Format Variant, Phylogenetic Tree Format, Phylogenetic Tree Format (Text), Protein Interaction Format, Python Script, R File Format, R Script, RDS, RNA Annotation Format, RNA Secondary Structure Format, RPKM, Raw Sequence Format, SAM, SBML, SQLite Format, SVG, Scores Format, Sequence Annotation Track Format, Sequence Cluster Format, Sequence Cluster Format (Protein), Sequence Feature Annotation Format, Sequence Feature Table Format, Sequence Feature Table Format (Text), Sequence Profile Format, Sequence Range Format, Sequence Record Format, Sequence Trace Format, Sequence Variation Annotation Format, TIFF, TSV, TXT, Tertiary Structure Format, Textual Format, Topology Format, Trajectory Format, VCF, Workflow Format, XML, YAML, bedgraph, bigWig, cel, imzML Metadata File, mzML, nii, pkl, sif, xls, xlsx, PDB, HED, MRC, Unspecified",,True,,,,biotoolsschema,list like,"Attribute: Tool Input Format
+Example: CSV"
+Tool Language,"Name of programming language the software source code was written in. Multiple values permitted, comma separated.","AWK, ActionScript, Ada, AppleScript, Assembly Language, Bash, C, C#, C++, COBOL, CSS, CWL, ColdFusion, D, Delphi, Dockerfile, Dylan, Eiffel, Elm, Forth, Fortran, Go, Groovy, HTML, Haskell, Icarus, JSP, Java, JavaScript, Julia, LabVIEW, Lisp, Lua, MATLAB, MLXTRAN, Maple, Mathematica, NMTRAN, Netlogo, Nextflow, Ocaml, OpenEdge ABL, Other, PHP, Pascal, Perl, PostScript, PowerShell, Prolog, PyMOL, Python, R, REXX, Racket, Ruby, SAS, SQL, Scala, Scheme, Shell, TeX, Turing, VHDL, Verilog, Visual Basic, WDL, XAML",,False,,,,biotoolsschema,list like,Tool Language: Python
+Tool License,"Software or data usage license. Multiple values permitted, comma separated.","AAL, ADSL, AFL-1.1, AFL-1.2, AFL-2.0, AFL-2.1, AFL-3.0, AGPL-1.0, AGPL-3.0, AMDPLPA, AML, AMPAS, ANTLR-PD, APAFML, APL-1.0, APSL-1.0, APSL-1.1, APSL-1.2, APSL-2.0, Abstyles, Adobe-2006, Adobe-Glyph, Afmparse, Aladdin, Apache-1.0, Apache-1.1, Apache-2.0, Artistic-1.0, Artistic-1.0-Perl, Artistic-1.0-cl8, Artistic-2.0, BSD-2-Clause, BSD-2-Clause-FreeBSD, BSD-2-Clause-NetBSD, BSD-3-Clause, BSD-3-Clause-Attribution, BSD-3-Clause-Clear, BSD-3-Clause-LBNL, BSD-3-Clause-No-Nuclear-License, BSD-3-Clause-No-Nuclear-License-2014, BSD-3-Clause-No-Nuclear-Warranty, BSD-4-Clause, BSD-4-Clause-UC, BSD-Protection, BSD-Source-Code, BSD-style, BSL-1.0, Bahyph, Barr, Beerware, BitTorrent-1.0, BitTorrent-1.1, Borceux, CATOSL-1.1, CC-BY-1.0, CC-BY-2.0, CC-BY-2.5, CC-BY-3.0, CC-BY-4.0, CC-BY-NC-1.0, CC-BY-NC-2.0, CC-BY-NC-2.5, CC-BY-NC-3.0, CC-BY-NC-4.0, CC-BY-NC-ND-1.0, CC-BY-NC-ND-2.0, CC-BY-NC-ND-2.5, CC-BY-NC-ND-3.0, CC-BY-NC-ND-4.0, CC-BY-NC-SA-1.0, CC-BY-NC-SA-2.0, CC-BY-NC-SA-2.5, CC-BY-NC-SA-3.0, CC-BY-NC-SA-4.0, CC-BY-ND-1.0, CC-BY-ND-2.0, CC-BY-ND-2.5, CC-BY-ND-3.0, CC-BY-ND-4.0, CC-BY-SA-1.0, CC-BY-SA-2.0, CC-BY-SA-2.5, CC-BY-SA-3.0, CC-BY-SA-4.0, CC0-1.0, CDDL-1.0, CDDL-1.1, CECILL-1.0, CECILL-1.1, CECILL-2.0, CECILL-2.1, CECILL-B, CECILL-C, CNRI-Jython, CNRI-Python, CNRI-Python-GPL-Compatible, CPAL-1.0, CPL-1.0, CPOL-1.02, CUA-OPL-1.0, Caldera, ClArtistic, Condor-1.1, Crossword, CrystalStacker, Cube, D-FSL-1.0, DOC, DSDP, Dotseqn, ECL-1.0, ECL-2.0, EFL-1.0, EFL-2.0, EPL-1.0, EUDatagrid, EUPL-1.0, EUPL-1.1, Entessa, ErlPL-1.1, Eurosym, FSFAP, FSFUL, FSFULLR, FTL, Fair, Frameworx-1.0, FreeImage, Freeware, GFDL-1.1, GFDL-1.2, GFDL-1.3, GL2PS, GPL-1.0, GPL-2.0, GPL-3.0, Giftware, Glide, Glulxe, HPND, HaskellReport, IBM-pibs, ICU, IJG, IPA, IPL-1.0, ISC, ImageMagick, Imlib2, Info-ZIP, Intel, Intel-ACPI, Interbase-1.0, JSON, JasPer-2.0, LAL-1.2, LAL-1.3, LGPL-2.0, LGPL-2.1, LGPL-3.0, LGPLLR, LPL-1.0, LPL-1.02, LPPL-1.0, LPPL-1.1, LPPL-1.2, LPPL-1.3a, LPPL-1.3c, Latex2e, Leptonica, LiLiQ-P-1.1, LiLiQ-R-1.1, LiLiQ-Rplus-1.1, Libpng, MIT, MIT-CMU, MIT-advertising, MIT-enna, MIT-feh, MITNFA, MPL-1.0, MPL-1.1, MPL-2.0, MPL-2.0-no-copyleft-exception, MS-PL, MS-RL, MTLL, MakeIndex, MirOS, Motosoto, Multics, Mup, NASA-1.3, NBPL-1.0, NCSA, NGPL, NLOD-1.0, NLPL, NOSL, NPL-1.0, NPL-1.1, NPOSL-3.0, NRL, NTP, Naumen, NetCDF, Newsletr, Nokia, Not licensed, Noweb, Nunit, OCCT-PL, OCLC-2.0, ODbL-1.0, OFL-1.0, OFL-1.1, OGTSL, OLDAP-1.1, OLDAP-1.2, OLDAP-1.3, OLDAP-1.4, OLDAP-2.0, OLDAP-2.0.1, OLDAP-2.1, OLDAP-2.2, OLDAP-2.2.1, OLDAP-2.2.2, OLDAP-2.3, OLDAP-2.4, OLDAP-2.5, OLDAP-2.6, OLDAP-2.7, OLDAP-2.8, OML, OPL-1.0, OSET-PL-2.1, OSL-1.0, OSL-1.1, OSL-2.0, OSL-2.1, OSL-3.0, OpenSSL, Other, PDDL-1.0, PHP-3.0, PHP-3.01, Plexus, PostgreSQL, Proprietary, Python-2.0, QPL-1.0, Qhull, RHeCos-1.1, RPL-1.1, RPL-1.5, RPSL-1.0, RSA-MD, RSCPL, Rdisc, Ruby, SAX-PD, SCEA, SGI-B-1.0, SGI-B-1.1, SGI-B-2.0, SISSL, SISSL-1.2, SMLNJ, SMPPL, SNIA, SPL-1.0, SWL, Saxpath, Sendmail, SimPL-2.0, Sleepycat, Spencer-86, Spencer-94, Spencer-99, SugarCRM-1.1.3, TCL, TMate, TORQUE-1.1, TOSL, UPL-1.0, Unicode-TOU, Unlicense, VOSTROM, VSL-1.0, Vim, W3C, W3C-19980720, WTFPL, Watcom-1.0, Wsuipa, X11, XFree86-1.1, XSkat, Xerox, Xnet, YPL-1.0, YPL-1.1, ZPL-1.1, ZPL-2.0, ZPL-2.1, Zed, Zend-2.0, Zimbra-1.3, Zimbra-1.4, Zlib, bzip2-1.0.5, bzip2-1.0.6, curl, diffmark, dvipdfm, eGenix, gSOAP-1.3b, gnuplot, iMatix, libtiff, mpich2, psfrag, psutils, xinetd, xpp, zlib-acknowledgement",,False,,,,biotoolsschema,list like,Tool License: Apache-2.0
+Tool Link Note,Comment about the link.,,,False,,,,biotoolsschema,,"""This tool cannot be accessed without a valid institutional login."""
+Tool Link Type,"The type of data, information or system that is obtained when the link is resolved. Multiple values permitted, comma separated.","Discussion Forum, Galaxy Service, Helpdesk, Issue Tracker, Mailing list, Mirror, Other, Repository, Service, Social Media, Software Catalogue, Technical Monitoring",,False,,,,biotoolsschema,list like,Tool Link Type: Social Media
+Tool Link Url,A link of some relevance to the software (URL).,,,False,,,,biotoolsschema,,https://www.example.com/tool-info.html
+Tool Name,Canonical tool name provided by the tool developer or service provider.,,,True,,,,biotoolsschema,unique,Adobe Photoshop
+Tool Operating System,"The operating system supported by a downloadable software package. Multiple values permitted, comma separated.","Linux, Mac, Windows",,False,,,,biotoolsschema,list like,Linux
+Tool Operation,"The basic operation(s) performed by this software function. Multiple values permitted, comma separated.","Aggregation, Allele Frequency Distribution Analysis, Analysis, Annotation, Box-Whisker Plot Plotting, Calculation, Cell Migration Analysis, Cell Modelling, Cell Number Quantification, Cell Type Enrichment Analysis, Classification, Clustering, Clustering Profile Plotting, Comparison, Conversion, Copy Number Variation Detection, Correlation, DNA Barcoding, Data Handling, Data Retrieval, Database Search, De Novo Sequencing, Demultiplexing, Differential Gene Expression Profiling, Differential Protein Expression Profiling, Dimensionality Reduction, Editing, Enrichment Analysis, Expression Analysis, Expression Correlation Analysis, Expression Data Visualisation, Expression Profile Clustering, Expression Profile Comparison, Functional Clustering, Gene Expression Profiling, Gene Methylation Analysis, Gene Regulatory Network Analysis, Gene Regulatory Network Prediction, Gene-Set Enrichment Analysis, Generation, Genetic Mapping, Genetic Variation Analysis, Genome Analysis, Genome Annotation, Genome Visualisation, Genotyping, Heat Map Generation, Image Analysis, Imputation, Incident Curve Plotting, Information Retrieval, Linkage Analysis, Mapping, Metabolic Pathway Prediction, Methylation Analysis, Microscope Image Visualisation, Modelling and Simulation, Molecular Dynamics, Network Analysis, Network Visualisation, Nucleic Acid Feature Detection, Nucleic Acid Sequence Analysis, Nucleosome Position Prediction, Ontology Visualisation, Pathway Analysis, Pathway Modelling, Peak Calling, Phylogenetic Analysis, Prediction and Recognition, Principal Component Analysis, Protein Comparison, Protein Function Comparison, Protein Function Prediction, Protein Identification, Protein Interaction Network Analysis, Protein Quantification, Protein-Protein Interaction Analysis, Quantification, Query and Retrieval, RNA Secondary Structure Prediction, RNA-Seq Analysis, RNA-Seq Quantification, Regression Analysis, SNP Annotation, SNP Detection, Scatter Plot Plotting, Sequence Alignment Analysis, Sequence Alignment Comparison, Sequence Analysis, Sequence Annotation, Sequence Classification, Sequence Cluster Visualisation, Sequence Clustering, Sequence Comparison, Sequence Composition Calculation, Sequence Editing, Sequence File Editing, Sequence Read Processing, Sequencing Quality Control, Simulated Gene Expression Data Generation, Sorting, Spectral Analysis, Standardisation and Normalisation, Statistical Calculation, Statistical Inference, Statistical Modelling, Structural Variation Detection, Structure Analysis, Text Mining, Tissue Modelling, Validation, Variant Calling, Variant Classification, Variant Effect Prediction, Visualisation, scRNA-Seq Analysis, Agent-Based Cell Modelling, Not Applicable",,True,,,,biotoolsschema,list like,"Attribute: Tool Operation
+Example: DNA Barcoding"
+Tool Output Data,"Type of primary output data. Multiple values permitted, comma separated.","Accession, Alignment, Biological Model ID, Biological Model Name, Cell Line Name, Cell Migration Track Image, Cell Type Identifier, Cell Type Name, Cell Type Ontology ID, Chromosome Name, Chromosome Report, Clustered Expression Profiles, Codon Number, Comparison Matrix, Compound Identifier, Compound Name, Concentration, Count Matrix, DNA Sequence, Data Index, Data Reference, Database Search Results, Drug Identifier, Drug Name, Drug Report, Electronic Health Record, Enzyme Kinetics Data, Experimental Measurement, Expression Data, GO-Term Enrichment Data, Gene Expression Matrix, Gene Expression Profile, Gene ID, Gene ID (NCBI), Gene Identifier, Gene Name, Gene Report, Gene Symbol, Gene Tree, Genetic Map, Genotype/Phenotype Report, Heat Map, Hidden Markov Model, Hierarchy, Histogram, Identifier, Image, Image Metadata, Kinetic Model, MRI Image, Map, Map Data, Mass Spectrometry Data, Mass Spectrum, Mathematical Model, Matrix, Molecular Property, Molecular Simulation Data, Molecule Identifier, Molecule Name, Morphology Parameter, Mutation ID, Not Applicable, Nucleic Acid Identifier, Nucleic Acid Report, Nucleic Acid Sequence, Ontology, Ontology Concept Data, Ontology Data, Ontology Identifier, Ontology Mapping, Ontology Name, Ontology Term, Organism Identifier, Organism Name, Over-Represesntation Data, P-Value, Pair Sequence Alignment, Pathway Or Network, Pathway Or Network Report, Pathway Overrepresentation Data, Peptide Identification, Peptide Property, Phenotype Name, Phylogenetic Data, Phylogenetic Tree, Plain Text, Plot, Position Weight Matrix, Position-Specific Scoring Matrix, Protein Contact Map, Protein Identifier, Protein Interaction Data, Protein Name, Protein Property, Protein Report, Protein Sequence, Protein Structure Report, Quality Control Report, RNA Sequence, Raw Image, Reaction Data, RefSeq Accession, Report, Resource Metadata, Sample Annotation, Sample ID, Score, Sequence, Sequence Alignment, Sequence Attribute, Sequence Cluster, Sequence Composition Plot, Sequence Composition Report, Sequence Coordinates, Sequence Features, Sequence Image, Sequence Motif, Sequence Position, Sequence Property, Sequence Range, Sequence Record, Sequence Report, Sequence Search Results, Sequence Set, Sequence Signature Data, Sequence Similarity, Sequence Similarity Score, Sequence Variations, Simulation, Small Molecule Report, Spectrum, Statistical Estimate Score, Strain Identifier, Strain Name, Structure, Structure Report, Taxonomy, Text Data, Text Mining Report, Topology Data, Training Material, Trajectory Data, Transcription Factor Identifier, Transcription Factor Name, Vmax, dbSNP ID",,True,,,,biotoolsschema,list like,Gene ID (NCBI): NM_001282392.1
+Tool Output Format,"Allowed format(s) of the output data. Multiple values permitted, comma separated.","Alignment Format, Alignment Format (Pair Only), Alignment Format (Text), Annotated Text Format, Antimony, BAM, BCF, BED, BLAST Results, BNGL, Binary Format, Biological Model Format, Biological Pathway Or Network Format, CSV, Chemical Data Format, Cytoband Format, Cytoscape Input File Format, DCC, DCD, DSV, Database Hits (Sequence) Format , Docker Image Format, Document Format, Dot-Bracket Format, FASTA, FASTQ, FASTQ-Illumina, FCS, GCT/Res Format, GFF, GFF3, GIF, GML, GTF, Gene Annotation Format, Gene Cluster Format, Gene Expression Report Format, Genotype And Phenotype Annotation Format, Graph Format, H5AD, HDF, HDF5, HTML, Hidden Markov Model Format, Image Format, Individual Genetic Data Format, JPG, JSON, LSM, MAF, MAGE-ML, MAGE-TAB, MAT, MATLAB Script, MSF, Map Format, Mass Spectrometry Data Format, Matrix Format, NIFTI Format, Nexus Format, Not Applicable, NumPy Format, OME-TIFF, Ontology Format, PDF, PNG, PS, PSF, Phylip Format, Phylip Format Variant, Phylogenetic Tree Format, Phylogenetic Tree Format (Text), Protein Interaction Format, Python Script, R File Format, R Script, RDS, RNA Annotation Format, RNA Secondary Structure Format, RPKM, Raw Sequence Format, SAM, SBML, SQLite Format, SVG, Scores Format, Sequence Annotation Track Format, Sequence Cluster Format, Sequence Cluster Format (Protein), Sequence Feature Annotation Format, Sequence Feature Table Format, Sequence Feature Table Format (Text), Sequence Profile Format, Sequence Range Format, Sequence Record Format, Sequence Trace Format, Sequence Variation Annotation Format, TIFF, TSV, TXT, Tertiary Structure Format, Textual Format, Topology Format, Trajectory Format, VCF, Workflow Format, XML, YAML, bedgraph, bigWig, cel, imzML Metadata File, mzML, nii, pkl, sif, xls, xlsx, PDB, HED, MRC, Unspecified",,True,,,,biotoolsschema,list like,"Attribute: Tool Output Format
+Example: FASTQ"
+Tool Package Dependencies,"Specifies the software libraries, frameworks, or other components that a tool or package relies on for its proper functioning. This attribute helps users understand the prerequisites needed for installation and usage of the tool within a given computational environment",,,False,,,,CWL,list like,"Python 3.7 or above, Django 2.2 or above, Postgresql 12.0 or above."
+Tool Package Dependencies Present,Indicates whether the required package dependencies for tool are present.,"True, False",,True,,,,CWL,,Tool Package Dependencies Present: True
+Tool Grant Number,"Grant number associated with the tool's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,CA209975
+Tool Pubmed Id,The pubMed identifer associated with the development of the tool.,,,False,,,,,int,26760201
+Tool Release Date,The release date of a product or product model. This can be used to distinguish the exact variant of a product.,,,True,,,,schema.org,date,"January 5, 2022"
+Tool Topic,"General scientific domain the software serves, or other general category. Multiple values permitted, comma separated.","Allergy Clinical Immunology and Immunotherapeutics, Biochemistry, Bioimaging, Bioinformatics, Biological Databases, Biology, Biomedical Science, Biomolecular Simulation, Biophysics, Biotechnology, Biotherapeutics, Cell Biology, Cell Culture Collection, Chemistry, Chip-Seq, Chromosome Conformation Capture, Comparative Genomics, Compound Libraries and Screening, Computational Biology, Computer Science, Cytogenetics, Cytometry, DNA, DNA Mutation, DNA Packaging, DNA Polymorphism, Data Architecture Analysis and Design, Data Identity and Mapping, Data Mining, Data Submission Annotation and Curation, Data Visualisation, Developmental Biology, Drug Development, Drug Discovery, Drug Metabolism, Electron Microscopy, Epigenetics, Evolutionary Biology, Exome Sequencing, Experimental Design and Studies, Function Analysis, Functional Genomics, Functional Regulatory and Non-Coding RNA, GWAS Study, Gene Expression, Gene Regulation, Gene Structure, Gene Transcripts, Gene and Protein Families, Genetic Engineering, Genetic Variation, Genetics, Genomics, Genotype and Phenotype, Imaging, Immunoinformatics, Immunology, Immunomics, Immunoprecipitation Experiment, Immunoproteins and Antigens, Infectious Disease, Informatics, Laboratory Techniques, Light Microscopy, Lipids, Machine Learning, Mapping, Mathematics, Medical Imaging, Medical Informatics, Medicine, Medicines Research and Development, Membrane and Lipoproteins, Metagenomics, Molecular Biology, Molecular Genetics, Molecular Interactions Pathways and Networks, Nucleic Acid Structure Analysis, Nucleic Acids, Omics, Oncology, Ontology and Terminology, Pathology, Pharmacogenomics, Pharmacology, Pharmacovigilance, Phylogenetics, Phylogenomics, Phylogeny, Preclinical and Clinical Studies, Probes and Primers, Protein Expression, Protein Modifications, Protein Properties, Proteins, Proteomics, Proteomics Experiment, RNA, RNA-Seq, Safety Sciences, Sample Collections, Sequence Analysis, Sequencing, Simulation Experiment, Software Engineering, Statistics and Probability, Structural Analysis, Structural Biology, Systems Biology, Transcription Factors and Regulatory Sites, Transcriptomics, Virology, Whole Genome Sequencing, Workflows, scRNA-Seq",,False,,,,biotoolsschema,list like,Tool Topic: Bioinformatics
+Tool Type,"A type of application software: a discrete software entity can have more than one type. Multiple values permitted, comma separated.","Bioinformatics Portal, Command-Line Tool, Database Portal, Desktop Application, Library, Notebook, Ontology, Other, Plug-In, SPARQL Endpoint, Script, Serialized Model, Suite, Web API, Web Application, Web Service, Workbench, Workflow",,False,,,,biotoolsschema,list like,Command-Line Tool
+Tool Version,Version information (typically a version number) of the software applicable to this entry.,,,False,,,,biotoolsschema,,3.2.1
+Tool View,The denormalized manifest for tool submission.,,"Component, ToolView_id, Study key, DatasetView Key, PublicationView Key, Tool Name, Tool Description, Tool Homepage, Tool Version, Tool Operation, Tool Input Data, Tool Output Data, Tool Input Format, Tool Output Format, Tool Function Note, Tool Cmd, Tool Type, Tool Topic, Tool Operating System, Tool Language, Tool License, Tool Cost, Tool Accessibility, Tool Download Url, Tool Download Type, Tool Download Note, Tool Download Version, Tool Documentation Url, Tool Documentation Type, Tool Documentation Note, Tool Link Url, Tool Link Type, Tool Link Note, Tool Date Last Modified, Tool Release Date, Tool Package Dependencies, Tool Package Dependencies Present, Tool Compute Requirements, Tool Entity Name, Tool Entity Type, Tool Entity Role",False,,,Study,,,"In a software interface, the 'Tool View' attribute might be set to ""Detail View"" or ""Thumbnail View""."
+ToolView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,ToolView_6749
diff --git a/modules/tool/template.csv b/modules/tool/template.csv
new file mode 100644
index 00000000..34c1edbc
--- /dev/null
+++ b/modules/tool/template.csv
@@ -0,0 +1,46 @@
+Attribute,Description,Required,Validation Rules,Examples
+[Tool Accessibility](../valid_values/tool.md#attribute-tool-accessibility),Whether there are non-monetary restrictions on accessing an online service.,False,_None_,"Tool Accessibility: Open Access (With Restrictions) - The company's data analytics tool is open to all employees, but access to certain sensitive information within the tool is restricted to upper management."
+Tool Cmd,"Relevant command, command-line fragment, or option for executing this function/running the tool in this mode.",False,_None_,"""export GIT_TRACE=1"""
+Tool Compute Requirements,"Component dependency requirements for application. This includes runtime environments and shared libraries that are not included in the application distribution package, but required to run the application (examples: DirectX, Java or .NET runtime).",False,"list like, url","CPU: Intel i7, RAM: 16GB, Hard Disk Space: 500GB, Operating System: Windows 10, GPU: Nvidia GTX 1060 6GB, Internet Connection: Broadband."
+[Tool Cost](../valid_values/tool.md#attribute-tool-cost),Monetary cost of acquiring the software.,False,_None_,Commercial
+Tool Date Last Modified,"The date indicating when the tool's entry was most recently modified or updated, providing a timestamp of the latest changes made to the tool's information.",False,date,11/04/2021 15:30:45
+Tool Description,Textual description of the tool.,True,_None_,"This powerful electric drill comes with a 10 amp motor, providing high performance in heavy-duty applications. This tool possesses a 1/2-inch all-metal, single-sleeve, ratcheting keyless chuck with automatic spindle lock that provides greater bit retention and tool-free convenience. Additionally, it is designed with a soft grip handle and two-finger trigger for increased comfort and greater control. This drill also features a 360-degree locking side handle with soft grip for increased maneuverability and control."
+Tool Documentation Note,Comment about the documentation.,False,_None_,"""This software comes with comprehensive user manuals and FAQs to assist in navigation and troubleshooting. Regular updates to the documentation are provided based on software upgrades."""
+[Tool Documentation Type](../valid_values/tool.md#attribute-tool-documentation-type),"Type of documentation that is linked to. Multiple values permitted, comma separated.",False,list like,API Documentation
+Tool Documentation Url,Link to documentation on the web for the tool.,False,_None_,"""https://docs.google.com/spreadsheets/"""
+Tool Download Note,Comment about the download.,False,_None_,"""Before downloading this tool, ensure your device has adequate storage space and meets the minimum system requirements. Also, our tools may require specific software or apps to function properly. Please refer to our website for detailed information about the required software."""
+[Tool Download Type](../valid_values/tool.md#attribute-tool-download-type),"The type of data, information, or system that is obtained when the link is resolved.",False,_None_,API Specification
+Tool Download Url,Link to download (or repo providing a download) for the software.,False,_None_,https://example.com/tool-download/version2.0
+Tool Download Version,Version information (typically a version number) of the software applicable to this download.,False,_None_,1.0.3
+Tool Entity Name,Name of the entities that may be credited,False,list like,Hammer
+[Tool Entity Role](../valid_values/tool.md#attribute-tool-entity-role),"Role performed by entity that is credited, e.g. βDeveloperβ",True,list like,"For an open-source software project, different individuals or teams could take on various roles: the 'Developer' builds and enhances the software, the 'Maintainer' ensures it is debugged and up to date, the 'Provider' supplies the software to users, the 'Documentor' creates guides and manuals, 'Contributors' improve the software, the 'Support' team assists with technical issues, and the 'Primary Contact' handles overall inquiries."
+[Tool Entity Type](../valid_values/tool.md#attribute-tool-entity-type),"Types of entities that may be credited, e.g. βPersonβ.",True,list like,Person
+Tool Function Note,"Concise comment about this function, if not apparent from the software description and EDAM annotations.",False,_None_,"""The tool is primarily used for cutting hard materials, but can also be utilized for shaping, smoothing, and finishing tasks depending on the type of blade or attachment used."""
+[Tool Grant Number](../valid_values/tool.md#attribute-tool-grant-number),"Grant number associated with the tool's development. Multiple values permitted, comma separated.",True,list like,CA209975
+Tool Homepage,"Homepage of the software, or some URL that best serves this purpose.",True,url,https://www.microsoft.com/en-us/windows/
+[Tool Input Data](../valid_values/tool.md#attribute-tool-input-data),"Type of primary input data. Multiple values permitted, comma separated.",True,list like,"Attribute: Tool Input Data
+Example: DNA Sequence"
+[Tool Input Format](../valid_values/tool.md#attribute-tool-input-format),"Allowed format(s) of the input data. Multiple values permitted, comma separated.",True,list like,"Attribute: Tool Input Format
+Example: CSV"
+[Tool Language](../valid_values/tool.md#attribute-tool-language),"Name of programming language the software source code was written in. Multiple values permitted, comma separated.",False,list like,Tool Language: Python
+[Tool License](../valid_values/tool.md#attribute-tool-license),"Software or data usage license. Multiple values permitted, comma separated.",False,list like,Tool License: Apache-2.0
+Tool Link Note,Comment about the link.,False,_None_,"""This tool cannot be accessed without a valid institutional login."""
+[Tool Link Type](../valid_values/tool.md#attribute-tool-link-type),"The type of data, information or system that is obtained when the link is resolved. Multiple values permitted, comma separated.",False,list like,Tool Link Type: Social Media
+Tool Link Url,A link of some relevance to the software (URL).,False,_None_,https://www.example.com/tool-info.html
+Tool Name,Canonical tool name provided by the tool developer or service provider.,True,unique,Adobe Photoshop
+[Tool Operating System](../valid_values/tool.md#attribute-tool-operating-system),"The operating system supported by a downloadable software package. Multiple values permitted, comma separated.",False,list like,Linux
+[Tool Operation](../valid_values/tool.md#attribute-tool-operation),"The basic operation(s) performed by this software function. Multiple values permitted, comma separated.",True,list like,"Attribute: Tool Operation
+Example: DNA Barcoding"
+[Tool Output Data](../valid_values/tool.md#attribute-tool-output-data),"Type of primary output data. Multiple values permitted, comma separated.",True,list like,Gene ID (NCBI): NM_001282392.1
+[Tool Output Format](../valid_values/tool.md#attribute-tool-output-format),"Allowed format(s) of the output data. Multiple values permitted, comma separated.",True,list like,"Attribute: Tool Output Format
+Example: FASTQ"
+Tool Package Dependencies,"Specifies the software libraries, frameworks, or other components that a tool or package relies on for its proper functioning. This attribute helps users understand the prerequisites needed for installation and usage of the tool within a given computational environment",False,list like,"Python 3.7 or above, Django 2.2 or above, Postgresql 12.0 or above."
+[Tool Package Dependencies Present](../valid_values/tool.md#attribute-tool-package-dependencies-present),Indicates whether the required package dependencies for tool are present.,True,_None_,Tool Package Dependencies Present: True
+[Tool Grant Number](../valid_values/tool.md#attribute-tool-grant-number),"Grant number associated with the tool's development. Multiple values permitted, comma separated.",True,list like,CA209975
+Tool Pubmed Id,The pubMed identifer associated with the development of the tool.,False,int,26760201
+Tool Release Date,The release date of a product or product model. This can be used to distinguish the exact variant of a product.,True,date,"January 5, 2022"
+[Tool Topic](../valid_values/tool.md#attribute-tool-topic),"General scientific domain the software serves, or other general category. Multiple values permitted, comma separated.",False,list like,Tool Topic: Bioinformatics
+[Tool Type](../valid_values/tool.md#attribute-tool-type),"A type of application software: a discrete software entity can have more than one type. Multiple values permitted, comma separated.",False,list like,Command-Line Tool
+Tool Version,Version information (typically a version number) of the software applicable to this entry.,False,_None_,3.2.1
+Tool View,The denormalized manifest for tool submission.,False,_None_,"In a software interface, the 'Tool View' attribute might be set to ""Detail View"" or ""Thumbnail View""."
+ToolView_id,A unique primary key that enables record updates using schematic.,True,unique,ToolView_6749
diff --git a/scripts/hooks.py b/scripts/hooks.py
index 3f8df657..dc663993 100644
--- a/scripts/hooks.py
+++ b/scripts/hooks.py
@@ -17,7 +17,8 @@
'Attribute',
'Description',
'Required',
- 'Validation Rules'
+ 'Validation Rules',
+ 'Examples'
]
def on_pre_build(config, **kwargs) -> None:
From 2aaecb6a6970362941f1f5b49ca06a3cd47502bd Mon Sep 17 00:00:00 2001
From: davidrollins12
Date: Wed, 5 Feb 2025 15:57:23 -0600
Subject: [PATCH 002/106] Update the csv files with examples and update pages
to contain overviews and examples
---
docs/assets/custom.css | 10 ----------
mkdocs.yml | 3 ---
2 files changed, 13 deletions(-)
delete mode 100644 docs/assets/custom.css
diff --git a/docs/assets/custom.css b/docs/assets/custom.css
deleted file mode 100644
index 6b439597..00000000
--- a/docs/assets/custom.css
+++ /dev/null
@@ -1,10 +0,0 @@
-a[title] {
- position: relative;
- color: #0056b3;
- text-decoration: none;
- }
-
- a[title]:hover {
- text-decoration: underline;
- }
-
\ No newline at end of file
diff --git a/mkdocs.yml b/mkdocs.yml
index 0650c485..901da455 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -80,9 +80,6 @@ plugins:
hooks:
- scripts/hooks.py
-extra_css:
- - assets/custom.css
-
markdown_extensions:
- admonition
- pymdownx.details
From 485033adbefa6210601bac4a1a43683d71e93a0c Mon Sep 17 00:00:00 2001
From: davidrollins12
Date: Wed, 5 Feb 2025 15:58:54 -0600
Subject: [PATCH 003/106] Update the csv files with examples and update pages
to contain overviews and examples
---
modules/templates/10xVisiumAuxiliaryFiles.csv | 2 --
modules/templates/10xVisiumRNALevel1.csv | 2 --
modules/templates/10xVisiumRNALevel2.csv | 2 --
modules/templates/10xVisiumRNALevel3.csv | 2 --
modules/templates/10xVisiumRNALevel4.csv | 2 --
.../10xVisiumSpatialTranscriptomics-AuxiliaryFiles.csv | 2 --
.../templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel1.csv | 2 --
.../templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel2.csv | 2 --
.../templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel3.csv | 2 --
.../templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel4.csv | 2 --
modules/templates/Biospecimen.csv | 2 --
modules/templates/DataDSP.csv | 2 --
modules/templates/DatasetView.csv | 2 --
modules/templates/EducationalResource.csv | 2 --
modules/templates/FileView.csv | 2 --
modules/templates/GrantView.csv | 2 --
modules/templates/ImagingChannel.csv | 2 --
modules/templates/ImagingLevel1.csv | 2 --
modules/templates/ImagingLevel2.csv | 2 --
modules/templates/ImagingLevel3Image.csv | 2 --
modules/templates/ImagingLevel3Segments.csv | 2 --
modules/templates/ImagingLevel4.csv | 2 --
modules/templates/Individual.csv | 2 --
modules/templates/Model.csv | 2 --
modules/templates/NanoStringGeoMXROISegmentAnnotation.csv | 2 --
modules/templates/NanoStringGeoMxAuxiliaryFiles.csv | 2 --
modules/templates/NanoStringGeoMxDSPImaging.csv | 2 --
modules/templates/NanoStringGeoMxDSPImagingLevel2.csv | 2 --
modules/templates/NanoStringGeoMxDSPLevel1.csv | 2 --
modules/templates/NanoStringGeoMxDSPLevel2.csv | 2 --
modules/templates/NanoStringGeoMxDSPLevel3.csv | 2 --
modules/templates/PersonView.csv | 2 --
modules/templates/ProjectView.csv | 2 --
modules/templates/PublicationView.csv | 2 --
modules/templates/SequencingLevel1.csv | 2 --
modules/templates/SequencingLevel2.csv | 2 --
modules/templates/SequencingLevel3.csv | 2 --
modules/templates/Study.csv | 2 --
modules/templates/ToolView.csv | 2 --
39 files changed, 78 deletions(-)
delete mode 100644 modules/templates/10xVisiumAuxiliaryFiles.csv
delete mode 100644 modules/templates/10xVisiumRNALevel1.csv
delete mode 100644 modules/templates/10xVisiumRNALevel2.csv
delete mode 100644 modules/templates/10xVisiumRNALevel3.csv
delete mode 100644 modules/templates/10xVisiumRNALevel4.csv
delete mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-AuxiliaryFiles.csv
delete mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel1.csv
delete mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel2.csv
delete mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel3.csv
delete mode 100644 modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel4.csv
delete mode 100644 modules/templates/Biospecimen.csv
delete mode 100644 modules/templates/DataDSP.csv
delete mode 100644 modules/templates/DatasetView.csv
delete mode 100644 modules/templates/EducationalResource.csv
delete mode 100644 modules/templates/FileView.csv
delete mode 100644 modules/templates/GrantView.csv
delete mode 100644 modules/templates/ImagingChannel.csv
delete mode 100644 modules/templates/ImagingLevel1.csv
delete mode 100644 modules/templates/ImagingLevel2.csv
delete mode 100644 modules/templates/ImagingLevel3Image.csv
delete mode 100644 modules/templates/ImagingLevel3Segments.csv
delete mode 100644 modules/templates/ImagingLevel4.csv
delete mode 100644 modules/templates/Individual.csv
delete mode 100644 modules/templates/Model.csv
delete mode 100644 modules/templates/NanoStringGeoMXROISegmentAnnotation.csv
delete mode 100644 modules/templates/NanoStringGeoMxAuxiliaryFiles.csv
delete mode 100644 modules/templates/NanoStringGeoMxDSPImaging.csv
delete mode 100644 modules/templates/NanoStringGeoMxDSPImagingLevel2.csv
delete mode 100644 modules/templates/NanoStringGeoMxDSPLevel1.csv
delete mode 100644 modules/templates/NanoStringGeoMxDSPLevel2.csv
delete mode 100644 modules/templates/NanoStringGeoMxDSPLevel3.csv
delete mode 100644 modules/templates/PersonView.csv
delete mode 100644 modules/templates/ProjectView.csv
delete mode 100644 modules/templates/PublicationView.csv
delete mode 100644 modules/templates/SequencingLevel1.csv
delete mode 100644 modules/templates/SequencingLevel2.csv
delete mode 100644 modules/templates/SequencingLevel3.csv
delete mode 100644 modules/templates/Study.csv
delete mode 100644 modules/templates/ToolView.csv
diff --git a/modules/templates/10xVisiumAuxiliaryFiles.csv b/modules/templates/10xVisiumAuxiliaryFiles.csv
deleted file mode 100644
index dda34c65..00000000
--- a/modules/templates/10xVisiumAuxiliaryFiles.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,Filename,File Format,Biospecimen Key,10xVisiumAuxiliaryFiles_id,10xVisiumRNALevel1 Key,10xVisiumRNALevel2 Key,10xVisiumRNALevel3 Key,10xVisiumRNALevel4 Key,Run ID,Visium File Type,Slide ID,Capture Area,Workflow Version,Workflow Link
-10xVisiumAuxiliaryFiles,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumRNALevel1.csv b/modules/templates/10xVisiumRNALevel1.csv
deleted file mode 100644
index 21d042c3..00000000
--- a/modules/templates/10xVisiumRNALevel1.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,10xVisiumRNALevel1_id,Filename,Visium Run ID,File Format,Biospecimen Key,File Alias,NGS Read Indicator,Visium Spatial Read1,Visium Spatial Read2,Visium Spatial Library Construction Method,NGS Library Preparation Days from Index,NGS Sequencing Library Construction Days from Index,NGS End Bias,NGS Reverse Transcription Primer,NGS Sequencing Platform,Visium Capture Area,Protocol Link,Visium Slide Version,Visium Slide ID,Visium Image Re-orientation,Visium Permeabilization Time,NGS RIN,NGS DV200
-10xVisiumRNALevel1,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumRNALevel2.csv b/modules/templates/10xVisiumRNALevel2.csv
deleted file mode 100644
index 72459f5b..00000000
--- a/modules/templates/10xVisiumRNALevel2.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,10xVisiumRNALevel2_id,Filename,File Format,Checksum,10xVisiumRNALevel1 Key,File Alias,Visium UMI Tag,Visium Whitelist Spatial Barcode File Link,Visium Spatial Barcode Tag,Visium Applied Hard Trimming,Workflow Version,Workflow Link,Genomic Reference,Genomic Reference URL,Genome Annotation URL,Biospecimen Key,Visium Run ID,Visium Capture Area
-10xVisiumRNALevel2,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumRNALevel3.csv b/modules/templates/10xVisiumRNALevel3.csv
deleted file mode 100644
index f0d7ad52..00000000
--- a/modules/templates/10xVisiumRNALevel3.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,10xVisiumRNALevel3_id,Filename,File Format,Biospecimen Key,10xVisiumRNALevel2 Key,10xVisiumAuxiliaryFiles Key,File Alias,Visium Run ID,Visium File Type,Workflow Version,Workflow Link,Visium Capture Area,Visium Spots under tissue,Visium Mean Reads per Spatial Spot,Visium Median Number Genes per Spatial Spot,NGS Sequencing Coverage,Visium Proportion Reads Mapped,Visium Proportion Reads Mapped to Transcriptome,Visium Median UMI Counts per Spot
-10xVisiumRNALevel3,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumRNALevel4.csv b/modules/templates/10xVisiumRNALevel4.csv
deleted file mode 100644
index 519ef96c..00000000
--- a/modules/templates/10xVisiumRNALevel4.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,10xVisiumRNALevel4_id,Filename,File Format,Biospecimen Key,10xVisiumRNALevel3 Key,Run ID,Workflow Version,Workflow Link,Visium Workflow Type,Visium Workflow Parameters Description
-10xVisiumRNALevel4,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-AuxiliaryFiles.csv b/modules/templates/10xVisiumSpatialTranscriptomics-AuxiliaryFiles.csv
deleted file mode 100644
index 160d867b..00000000
--- a/modules/templates/10xVisiumSpatialTranscriptomics-AuxiliaryFiles.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,Filename,File Format,Biospecimen Key,VisiumAux_id,VisiumRNALevel1 Key,VisiumRNALevel2 Key,VisiumRNALevel3 Key,VisiumRNALevel4 Key,Run ID,Visium File Type,Slide ID,Capture Area,Workflow Version,Workflow Link
-10xVisiumSpatialTranscriptomics-AuxiliaryFiles,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel1.csv b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel1.csv
deleted file mode 100644
index b54832cc..00000000
--- a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel1.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,VisiumRNALevel1_id,Filename,Run ID,File Format,Biospecimen Key,File Alias,Read Indicator,Spatial Read1,Spatial Read2,Spatial Library Construction Method,Library Preparation Days from Index,Sequencing Library Construction Days from Index,End Bias,Reverse Transcription Primer,Sequencing Platform,Capture Area,Protocol Link,Slide Version,Slide ID,Image Re-orientation,Permeabilization Time,RIN,DV200
-10xVisiumSpatialTranscriptomics-RNA-seqLevel1,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel2.csv b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel2.csv
deleted file mode 100644
index 2a7015c4..00000000
--- a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel2.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,VisiumRNALevel2_id,Filename,File Format,Checksum,VisiumRNALevel1 Key,File Alias,UMI Tag,Whitelist Spatial Barcode File Link,Spatial Barcode Tag,Applied Hard Trimming,Workflow Version,Workflow Link,Genomic Reference,Genomic Reference URL,Genome Annotation URL,Biospecimen Key,Run ID,Capture Area
-10xVisiumSpatialTranscriptomics-RNA-seqLevel2,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel3.csv b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel3.csv
deleted file mode 100644
index d6fb50b2..00000000
--- a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel3.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,VisiumRNALevel3_id,Filename,File Format,Biospecimen Key,VisiumRNALevel2 Key,VisiumAux Key,File Alias,Run ID,Visium File Type,Workflow Version,Workflow Link,Capture Area,Spots under tissue,Mean Reads per Spatial Spot,Median Number Genes per Spatial Spot,Sequencing Saturation,Proportion Reads Mapped,Proportion Reads Mapped to Transcriptome,Median UMI Counts per Spot
-10xVisiumSpatialTranscriptomics-RNA-seqLevel3,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel4.csv b/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel4.csv
deleted file mode 100644
index b33a5a1e..00000000
--- a/modules/templates/10xVisiumSpatialTranscriptomics-RNA-seqLevel4.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,VisiumRNALevel4_id,Filename,File Format,Biospecimen Key,VisiumRNALevel3 Key,Run ID,Workflow Version,Workflow Link,Visium Workflow Type,Visium Workflow Parameters Description
-10xVisiumSpatialTranscriptomics-RNA-seqLevel4,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/Biospecimen.csv b/modules/templates/Biospecimen.csv
deleted file mode 100644
index fb54a2c9..00000000
--- a/modules/templates/Biospecimen.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,Biospecimen_id,Study Key,Individual Key,Model Key,Parent Biospecimen Key,Biospecimen Type,Biospecimen Acquisition Method,Biospecimen Stain,Biospecimen Species,Biospecimen Sex,Biospecimen Age at Collection,Biospecimen Age at Collection Unit,Biospecimen Disease Type,Biospecimen Primary Site,Biospecimen Primary Diagnosis,Biospecimen Site of Origin,Biospecimen Tumor Subtype,Biospecimen Tumor Grade,Biospecimen Known Metastasis Sites,Biospecimen Tumor Morphology,Biospecimen Pathology,Biospecimen Composition,Biospecimen Preservation Method,Biospecimen Fixative,Biospecimen Embedding Medium,Biospecimen Anatomic Site,Biospecimen Site of Resection or Biopsy,Biospecimen Timepoint Type,Biospecimen Timepoint Offset,Biospecimen Collection Site,Biospecimen Therapeutic Agent,Biospecimen Last Known Disease Status,Biospecimen BioSample Identifier,Biospecimen Description
-Biospecimen,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/DataDSP.csv b/modules/templates/DataDSP.csv
deleted file mode 100644
index cdd72926..00000000
--- a/modules/templates/DataDSP.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,DataDSP_id,Study Key,DatasetView Key,DSP Dataset Alias,DSP Dataset Name,DSP Dataset Url,DSP Dataset Assay,DSP Dataset Level,DSP Dataset Species,DSP Dataset Tumor Type,DSP Dataset Tissue,DSP Dataset File Formats,DSP Number of Files,DSP Number of Samples,DSP Number of Participants,DSP Storage Size,DSP Dataset Description,DSP Planned Upload Date,DSP Planned Release Date,DSP Data Use Codes,DSP IRB Form,DSP Dataset Destination
-DataDSP,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/DatasetView.csv b/modules/templates/DatasetView.csv
deleted file mode 100644
index fe709ad5..00000000
--- a/modules/templates/DatasetView.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,DatasetView_id,Study Key,PublicationView Key,Dataset Name,Dataset Alias,Dataset Description,Dataset Design,Dataset Assay,Dataset Species,Dataset Tumor Type,Dataset Tissue,Dataset Url,Dataset File Formats,Data Use Codes
-DatasetView,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/EducationalResource.csv b/modules/templates/EducationalResource.csv
deleted file mode 100644
index 73b11839..00000000
--- a/modules/templates/EducationalResource.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,EducationalResource_id,Resource Title,Resource Link,Resource Topic,Resource Activity Type,Resource Primary Format,Resource Intended Use,Resource Primary Audience,Resource Educational Level,Resource Description,Resource Origin Institution,Resource Language,Resource Contributors,Resource Grant Number,Resource Secondary Topic,Resource License,Resource Use Requirements,Resource Alias,Resource Internal Identifier,Resource Media Accessibility,Resource Access Hazard,Resource Dataset Alias,Resource Tool Link
-EducationalResource,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/FileView.csv b/modules/templates/FileView.csv
deleted file mode 100644
index 92ac2521..00000000
--- a/modules/templates/FileView.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,FileView_id,Biospecimen Key,Study Key,DatasetView Key,Filename,File Alias,File Description,File Design,File Level,File Assay,File Species,File Tumor Type,File Tissue,File Url,File Format,Data Use Codes,File Longitudinal Group,File Longitudinal Event Type,File Longitudinal Sequence Identifier,File Longitudinal Time Elapsed Unit,File Longitudinal Sequential Time Elapsed,File Longitudinal Total Time Elapsed
-FileView,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/GrantView.csv b/modules/templates/GrantView.csv
deleted file mode 100644
index d19386e1..00000000
--- a/modules/templates/GrantView.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,GrantView_id,Grant Name,Grant Number,Grant Abstract,Grant Type,Grant Theme Name,Grant Institution Name,Grant Institution Alias,Grant Investigator,Grant Consortium Name,Grant Start Date,NIH RePORTER Link,Duration of Funding,Embargo End Date,Grant Synapse Team,Grant Synapse Project
-GrantView,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingChannel.csv b/modules/templates/ImagingChannel.csv
deleted file mode 100644
index 67573f9c..00000000
--- a/modules/templates/ImagingChannel.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,ImagingChannel_id,Study Key,Channel Identifier,Channel Name,Channel Passed QC,Channel Cycle Number,Channel Sub-cycle Number,Channel Antibody Role,Channel Target Name,Channel Antibody Name,Channel Resource ID,Channel Fluorophore,Channel Antibody Clone,Channel Antibody Lot,Channel Antibody Vendor,Channel Antibody Catalog Number,Channel Excitation Wavelength,Channel Emission Wavelength,Channel Excitation Bandwidth,Channel Emission Bandwidth,Channel Metal Symbol,Channel Metal Isotope,Channel Oligo Barcode Upper Strand,Channel Oligo Barcode Lower Strand,Channel Probe Dilution Ratio,Channel Probe Concentration
-ImagingChannel,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel1.csv b/modules/templates/ImagingLevel1.csv
deleted file mode 100644
index 944966f8..00000000
--- a/modules/templates/ImagingLevel1.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,ImagingLevel1_id,Filename,Image Assay Type,Image Protocol Link,Image Platform Model,Image Platform Manufacturer,Image Software,ImagingChannel Key
-ImagingLevel1,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel2.csv b/modules/templates/ImagingLevel2.csv
deleted file mode 100644
index 8f20521c..00000000
--- a/modules/templates/ImagingLevel2.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,ImagingLevel2_id,Filename,ImagingLevel1 Key,ImagingChannel Key,Image Assay Type,Image Protocol Link,Image Platform Model,Image Platform Manufacturer,Image Software,Image Objective,Image Nominal Magnification,Image Lense Aperture,Image Working Distance,Image Working Distance Unit,Image Immersion Type,Image Pyramidal,Image Z stack,Image Timeseries,Image FOV Index,Image FOV Size X,Image FOV Size X Unit,Image FOV Size Y,Image FOV Size Y Unit,Image Frame Averaging,Image Identifier,Image Dimension Order,Image Physical Size X,Image Physical Size X Unit,Image Physical Size Y,Image Physical Size Y Unit,Image Physical Size Z,Image Physical Size Z Unit,Image Pixels BigEndian,Image Plane Count,Image Channel Size,Image Number of Timepoints,Image X Pixels,Image Y Pixels,Image Z Pixels,Image Pixel Type
-ImagingLevel2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel3Image.csv b/modules/templates/ImagingLevel3Image.csv
deleted file mode 100644
index c7452c5d..00000000
--- a/modules/templates/ImagingLevel3Image.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,ImagingLevel3Image_id,Filename,ImagingChannel Key,ImagingLevel2 Key,Image Assay Type,Image Protocol Link,Image Platform Model,Image Platform Manufacturer,Image Software,Image Objective,Image Nominal Magnification,Image Lense Aperture,Image Working Distance,Image Immersion Type,Image Pyramidal,Image Z stack,Image Timeseries,Image FOV Index,Image FOV Size X,Image FOV Size Y,Image FOV Size Y Unit,Image Frame Averaging
-ImagingLevel3Image,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel3Segments.csv b/modules/templates/ImagingLevel3Segments.csv
deleted file mode 100644
index bf4bf6f3..00000000
--- a/modules/templates/ImagingLevel3Segments.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,ImagingLevel3Segments_id,Filename,ImagingLevel2 Key,ImagingLevel3Image Key,Image Segmentation Data Type,Image Parameter file,Software and Version,Image Object Class,Image Object Class Description,Image Number of Objects
-ImagingLevel3Segments,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ImagingLevel4.csv b/modules/templates/ImagingLevel4.csv
deleted file mode 100644
index 74f9857a..00000000
--- a/modules/templates/ImagingLevel4.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,ImagingLevel4_id,Filename,ImagingLevel2 Key,ImagingLevel3Image Key,ImagingLevel3Segments Key,Image Parameter file,Image Software,Image Number of Objects,Image Number of Features,Image Object Class,Image Summary Statistic
-ImagingLevel4,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/Individual.csv b/modules/templates/Individual.csv
deleted file mode 100644
index abea9720..00000000
--- a/modules/templates/Individual.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,Individual_id,Study Key,Individual dbGaP Subject Id,Individual Sex,Individual Gender,Individual Age at Diagnosis,Individual Disease Type,Individual Primary Diagnosis,Individual Primary Site,Individual Primary Tumor Stage,Individual Site of Origin,Individual Tumor Subtype,Individual Tumor Grade,Individual Tumor Lymph Node Stage,Individual Known Metastasis Sites,Individual Metastasis Stage,Individual Treatment Type,Individual Therapeutic Agent,Individual Days to Treatment,Individual Treatment Outcome,Individual Days to Last Followup,Individual Recurrence Status,Individual Days To Recurrence,Individual Days to Last Known Disease Status,Individual Last Known Disease Status
-Individual,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/Model.csv b/modules/templates/Model.csv
deleted file mode 100644
index b00dcc52..00000000
--- a/modules/templates/Model.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,Model_id,Study Key,Individual Key,Model Age,Model Age Unit,Model Sex,Model Primary Diagnosis,Model Site of Origin,Model Tumor Type,Model Tumor Subtype,Model Species,Model Type,Model Method,Model Source,Model Acquisition Type,Model Graft Source,Model Genotype,Model Treatment Type,Model Therapeutic Agent
-Model,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMXROISegmentAnnotation.csv b/modules/templates/NanoStringGeoMXROISegmentAnnotation.csv
deleted file mode 100644
index 317d5327..00000000
--- a/modules/templates/NanoStringGeoMXROISegmentAnnotation.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,NanoStringGeoMXROISegmentAnnotation_id,Biospecimen Key,GeoMx Scan name,GeoMx ROI Name,GeoMx AOI Name,GeoMx Tags,GeoMx ROI X Coordinate,GeoMx ROI Y Coordinate,GeoMx AOI X Coordinate,GeoMx AOI Y Coordinate,GeoMx QC status,GeoMx Scan Height,GeoMx Scan Width,GeoMx Scan Offset X,GeoMx Scan Offset Y,GeoMx Binding Density,GeoMx Positive norm factor,GeoMx Surface area,GeoMx Nuclei count,GeoMx Tissue Stain,GeoMx Slide name,NGS Raw reads,NGS Stitched reads,NGS Aligned reads,NGS Deduplicated reads,NGS Trimmed reads,NGS Sequencing Coverage,NGS MapQ30,GeoMx Negative count mean,GeoMx No Template Control count,GeoMx Excluded Outlier Probes,GeoMx Limit of Quantification
-NanoStringGeoMXROISegmentAnnotation,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxAuxiliaryFiles.csv b/modules/templates/NanoStringGeoMxAuxiliaryFiles.csv
deleted file mode 100644
index e16193f5..00000000
--- a/modules/templates/NanoStringGeoMxAuxiliaryFiles.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,NanoStringGeoMxAuxiliaryFiles_id,Synapse ID of GeoMx DSP ROI Segment Annotation File,Synapse ID of GeoMx DSP PKC File,Synapse ID of GeoMx Lab Worksheet File,Synapse ID of GeoMx DSP Config File
-NanoStringGeoMxAuxiliaryFiles,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPImaging.csv b/modules/templates/NanoStringGeoMxDSPImaging.csv
deleted file mode 100644
index 695c29ff..00000000
--- a/modules/templates/NanoStringGeoMxDSPImaging.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,NanoStringGeoMxDSPImaging_id,Filename,NanoStringGeoMxDSPLevel1 Key,NanoStringGeoMxDSPLevel2 Key,NanoStringGeoMxAuxiliaryFiles Key,NanoStringGeoMXROISegmentAnnotation Key,GeoMx Imaging Channel Names
-NanoStringGeoMxDSPImaging,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPImagingLevel2.csv b/modules/templates/NanoStringGeoMxDSPImagingLevel2.csv
deleted file mode 100644
index 093b7c01..00000000
--- a/modules/templates/NanoStringGeoMxDSPImagingLevel2.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,NanoStringGeoMxDSPImagingLevel2_id,Project Key,Study Key,Filename,File Format,Parent Biospecimen ID,Synapse ID of Data File,Synapse ID of GeoMx ROI Segment Annotation File,ROI Name,AOI Name,Imaging Channel Names
-NanoStringGeoMxDSPImagingLevel2,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPLevel1.csv b/modules/templates/NanoStringGeoMxDSPLevel1.csv
deleted file mode 100644
index 5bf23135..00000000
--- a/modules/templates/NanoStringGeoMxDSPLevel1.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,NanoStringGeoMxDSPLevel1_id,NanoStringGeoMxAuxiliaryFiles Key,NanoStringGeoMXROISegmentAnnotation Key,Filename,GeoMx DSP Assay Type,NGS Target Sequencing Depth,NGS Read Length,NGS Sequencing Platform,NGS Library Selection Method,NGS Library Preparation Kit Name,NGS Library Preparation Kit Vendor,NGS Library Preparation Kit Version
-NanoStringGeoMxDSPLevel1,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPLevel2.csv b/modules/templates/NanoStringGeoMxDSPLevel2.csv
deleted file mode 100644
index 4711f36f..00000000
--- a/modules/templates/NanoStringGeoMxDSPLevel2.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,NanoStringGeoMxDSPLevel2_id,Filename,NanoStringGeoMxDSPLevel1 Key,NanoStringGeoMxAuxiliaryFiles Key,NanoStringGeoMXROISegmentAnnotation Key,GeoMx DSP Assay Type,Software and Version,Genomic Reference,NGS Sequencing Platform,NGS Library Selection Method,NGS Library Preparation Kit Name,NGS Library Preparation Kit Vendor,NGS Library Preparation Kit Version
-NanoStringGeoMxDSPLevel2,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/NanoStringGeoMxDSPLevel3.csv b/modules/templates/NanoStringGeoMxDSPLevel3.csv
deleted file mode 100644
index 38b6e0d2..00000000
--- a/modules/templates/NanoStringGeoMxDSPLevel3.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,NanoStringGeoMxDSPLevel3_id,Filename,NanoStringGeoMxDSPLevel1 Key,NanoStringGeoMxDSPLevel2 Key,NanoStringGeoMxAuxiliaryFiles Key,NGS Unique Probe Count,NGS Unique Target Count,NGS Matrix Type,Workflow Type,Workflow Parameter Description,Workflow Link
-NanoStringGeoMxDSPLevel3,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/PersonView.csv b/modules/templates/PersonView.csv
deleted file mode 100644
index 3c426a2b..00000000
--- a/modules/templates/PersonView.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,PersonView_id,GrantView Key,Person Consortium Name,Name,Alternative Names,Email,Url,Orcid Id,Synapse Profile Id,Last Known Institution,Working Group Participation,Chair Roles,Consent For Portal Display,Portal Display,Person Publications,Person Datasets,Person Tools,Person Educational Resources
-PersonView,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ProjectView.csv b/modules/templates/ProjectView.csv
deleted file mode 100644
index fe5fb134..00000000
--- a/modules/templates/ProjectView.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,ProjectView_id,GrantView Key,Project Name,Project Type,Project Description,Project Investigator
-ProjectView,,,,,,
\ No newline at end of file
diff --git a/modules/templates/PublicationView.csv b/modules/templates/PublicationView.csv
deleted file mode 100644
index fb16391a..00000000
--- a/modules/templates/PublicationView.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,PublicationView_id,Study Key,Publication Doi,Publication Journal,Pubmed Id,Pubmed Url,Publication Title,Publication Year,Publication Keywords,Publication Authors,Publication Abstract,Publication Assay,Publication Tumor Type,Publication Tissue,Publication Accessibility
-PublicationView,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/SequencingLevel1.csv b/modules/templates/SequencingLevel1.csv
deleted file mode 100644
index 5a4e3874..00000000
--- a/modules/templates/SequencingLevel1.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,SequencingLevel1_id,Filename,NGS Library Strategy,NGS Library Source,NGS Library Selection Method,NGS Library Layout,NGS Sequencing Platform,NGS Sequencing Design Description,NGS Library Preparation Kit Name,NGS Library Preparation Kit Vendor,NGS Library Preparation Kit Version,NGS Read Indicator,NGS Library Preparation Days from Index,NGS Sequencing Library Construction Days from Index
-SequencingLevel1,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/SequencingLevel2.csv b/modules/templates/SequencingLevel2.csv
deleted file mode 100644
index e71a04bd..00000000
--- a/modules/templates/SequencingLevel2.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,SequencingLevel2_id,SequencingLevel1 Key,Filename,NGS Library Strategy,NGS Library Source,NGS Library Selection Method,NGS Library Layout,NGS Sequencing Platform,NGS Sequencing Design Description,NGS Raw reads,NGS Stitched reads,NGS Aligned reads,NGS Deduplicated reads,NGS Trimmed reads,NGS MapQ30,NGS Unique Bases,NGS Read Length,NGS Sequencing Coverage,Genomic Reference,Software and Version
-SequencingLevel2,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/SequencingLevel3.csv b/modules/templates/SequencingLevel3.csv
deleted file mode 100644
index 053d8141..00000000
--- a/modules/templates/SequencingLevel3.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,SequencingLevel3_id,SequencingLevel2 Key,Filename,NGS Unique Probe Count,NGS Unique Target Count,NGS Matrix Type,Software and Version
-SequencingLevel3,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/Study.csv b/modules/templates/Study.csv
deleted file mode 100644
index 7abf7c45..00000000
--- a/modules/templates/Study.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,Study_id,GrantView Key,ProjectView Key,Study dbGaP Accession Id,Study Name,Study Description,Study Investigator,PersonView Key,Study Number of Participants,Study De-identification Method Type,Study De-identification Method Description,Study De-identification Method Software,Study Reuse Statement,Study Data Use Codes,Study License
-Study,,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/modules/templates/ToolView.csv b/modules/templates/ToolView.csv
deleted file mode 100644
index 644f2044..00000000
--- a/modules/templates/ToolView.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Component,ToolView_id,Study key,DatasetView Key,PublicationView Key,Tool Name,Tool Description,Tool Homepage,Tool Version,Tool Operation,Tool Input Data,Tool Output Data,Tool Input Format,Tool Output Format,Tool Function Note,Tool Cmd,Tool Type,Tool Topic,Tool Operating System,Tool Language,Tool License,Tool Cost,Tool Accessibility,Tool Download Url,Tool Download Type,Tool Download Note,Tool Download Version,Tool Documentation Url,Tool Documentation Type,Tool Documentation Note,Tool Link Url,Tool Link Type,Tool Link Note,Tool Date Last Modified,Tool Release Date,Tool Package Dependencies,Tool Package Dependencies Present,Tool Compute Requirements,Tool Entity Name,Tool Entity Type,Tool Entity Role
-ToolView,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
\ No newline at end of file
From c721a5bfdc305bb070f44de028f995f2bffeabd4 Mon Sep 17 00:00:00 2001
From: davidrollins12
Date: Wed, 5 Feb 2025 17:52:14 -0600
Subject: [PATCH 004/106] save progress on editing the annotation properties
---
docs/index.md | 79 +++++++++++++++------
docs/model/DataDSP.md | 26 ++++---
docs/model/dataset.md | 32 ++++++---
docs/model/education.md | 20 ++++--
docs/model/file.md | 19 +++--
docs/model/grant.md | 16 ++++-
docs/model/person.md | 16 ++++-
docs/model/publication.md | 15 +++-
docs/model/study.md | 22 +++++-
docs/model/tool.md | 15 ++--
modules/dataset/annotationProperty.csv | 26 +++----
modules/dataset/template.csv | 24 +++----
modules/education/annotationProperty.csv | 11 ++-
modules/education/template.csv | 11 ++-
modules/file/annotationProperty.csv | 3 +-
modules/grant/annotationProperty.csv | 14 ++--
modules/person/annotationProperty.csv | 8 +--
modules/publication/annotationProperty.csv | 18 ++---
modules/sharingPlans/annotationProperty.csv | 20 +++---
modules/sharingPlans/template.csv | 20 +++---
modules/study/annotationProperty.csv | 12 ++--
modules/tool/annotationProperty.csv | 36 +++++-----
22 files changed, 291 insertions(+), 172 deletions(-)
diff --git a/docs/index.md b/docs/index.md
index 83113f2e..2531d5b5 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -8,36 +8,73 @@
-**Welcome!** π Explore metadata terms used by MC2 Center
-project by key, value, or descriptions.
+### **Welcome!**
+The MC2 Center Data Models Explorer enables structured, standardized documentation of data and resources for research projects like the [Cancer Complexity Knowledge Portal](https://www.cancercomplexity.synapse.org/).
-### How to Use
+This platform is designed to support **researchers**, **developers**, and **data contributors** by enhancing collaboration, reproducibility, and data discovery through clear metadata standards. Documenting key attributes of datasets, studies, publications, and more ensures that research outputs remain accessible and reusable across teams and projects.
-1. β Use the search bar above for a specific term
+### **What Can You Do Here?**
+The platform supports the documentation and upload of a variety of resource types. Choose the resource relevant to your work from the table below:
-2. β Use the left navigation to explore all existing terms by category
+| **Resource Type** | **Description** |
+|---------------------------|---------------------------------------------------------------------------------------------------------|
+| **Datasets** | Collections of structured data such as clinical or genomic research results. |
+| **Studies** | Research projects with details like methodologies, assays, and participant data. |
+| **Publications** | Academic papers or reports with citations, abstracts, and other metadata. |
+| **Grants** | Funding information including institutions, collaborations, and grant IDs. |
+| **Educational Resources** | Tutorials, guides, and learning materials to support knowledge sharing. |
+| **Files** | Individual research files to organize and reference within projects. |
+| **Tools** | Software applications used for data analysis, visualization, and workflow automation. |
+| **Persons** | Profiles of key individuals involved in research projects, including investigators and contributors. |
----
+By documenting your resources here, you make your work more discoverable, reproducible, and impactful.
-### Next Steps
+### **Who Should Use This Platform?**
-To start contributing to your resources on the Cancer Complexity Knowledge
-Portal (CCKP), please read [our CCKP docs].
+The MC2 Data Models Explorer is tailored to meet the needs of various users. Whether you're managing datasets or contributing software tools, here's how it benefits you:
----
+| **User Type** | **How You Benefit** |
+|------------------------|----------------------------------------------------------------------------------------------------------|
+| **Researchers** | Increase visibility and reproducibility of your studies and datasets. |
+| **Developers** | Share and document tools that streamline research workflows. |
+| **Data Scientists** | Catalog critical data resources to advance discovery and innovation. |
+| **Project Managers** | Maintain consistency and traceability of research resources over time. |
+| **Educators** | Disseminate tutorials and training materials to enhance learning and skill-building. |
-### Found an error?
+By contributing metadata and resources, you support a robust knowledge network that accelerates scientific progress.
-We are always looking for ways to improve our data models. If there is
-an issue with an existing term - or if you have a suggestion - [let us know]!
-Or, if you would like to contribute to the project directly, read our
-[contribution guidelines].
+### **Why Contribute Resources?**
-!!!important
- Changing existing terminology may result in breaking changes downstream,
- so not all suggestions may be considered unless they are well-justified.
+Contributing resources benefits both you and the wider research community. Hereβs why it matters:
-[our CCKP docs]: https://help.cancercomplexity.synapse.org/doc/contributing-and-updating-data-in-the-portal
-[contribution guidelines]: https://mc2-center.github.io/data-models/contributing/
-[let us know]: https://github.com/mc2-center/data-models/issues/new?assignees=aditigopalan&labels=bug&projects=&template=bug-report.md&title=%5Bbug%5D+
\ No newline at end of file
+| **Benefit** | **Description** |
+|-------------------------|------------------------------------------------------------------------------------------------------------|
+| **Visibility** | Your work becomes more discoverable, potentially attracting new collaborators and citations. |
+| **Reproducibility** | Comprehensive metadata enables others to replicate or extend your research findings. |
+| **Collaboration** | Sharing resources opens opportunities to connect with researchers tackling similar challenges. |
+| **Data Longevity** | Properly documented data remains accessible and useful for long-term projects and evolving technologies. |
+| **Recognition** | Demonstrating your commitment to open science enhances your professional reputation and credibility. |
+
+Your contributions make a difference by fostering openness, innovation, and collaboration.
+
+
+### **How to Use This Platform**
+
+The Data Models Explorer offers easy navigation and search options:
+
+| **Action** | **Instructions** |
+|-------------------------|----------------------------------------------------------------------------------------------------------|
+| **Search for Terms** | Use the search bar above to look for specific metadata terms. |
+| **Browse Categories** | Navigate using the left-hand menu to explore terms organized by resource type. |
+
+If you're ready to contribute your resources, check out the [tutorial page](home/tutorial.md) for step-by-step guidance.
+
+### **Found an Error?**
+
+We continuously work to improve our data models. If you notice any issues or have suggestions, please [let us know].
+
+You can also read our [contribution guidelines] if you'd like to submit updates directly.
+
+!!!important
+ Changes to existing terms may have downstream impacts, so please provide clear justifications for any major revisions.
\ No newline at end of file
diff --git a/docs/model/DataDSP.md b/docs/model/DataDSP.md
index 5bff4489..90db8da2 100644
--- a/docs/model/DataDSP.md
+++ b/docs/model/DataDSP.md
@@ -1,11 +1,19 @@
-This page outlines the attributes used to document and share dataset plans within MC2 Center-supported Synapse projects. The DataDSP model ensures that datasets are well-organized, traceable, and meet compliance requirements for data storage, sharing, and use.
+A **Dataset Sharing Plan (DataDSP)** is a structured framework used to document the sharing, storage, and usage details of datasets within MC2 Center-supported Synapse projects. These plans help ensure datasets are traceable, well-organized, and compliant with regulations regarding data sharing, accessibility, and ethical use. By defining attributes such as dataset names, assays, species, and sharing permissions, the model facilitates efficient data management and collaboration across research projects.
+This page outlines the key attributes required to create a DataDSP, guiding users on how to structure and share datasets while adhering to best practices. It also demonstrates how attributes like planned upload dates, file formats, and grant numbers are used to ensure compliance with both internal and external data-sharing policies.
+
+## **Why You Should Contribute DataDSP Entries**
+Contributing DataDSP entries benefits your research and projects by improving data accessibility, organization, and compliance. With complete entries, you enhance collaboration opportunities, simplify data sharing, and increase the impact and visibility of your datasets in research communities. By ensuring your data is properly documented and discoverable, you also reduce administrative burdens during audits, grant reporting, and data requests.
+
+### **Who Should Be Contributing DataDSP Entries?**
+1. **Principal Investigators (PIs)** β Gain recognition for your research by making your data easily accessible and well-documented, improving citation potential and collaboration opportunities.
+2. **Data Managers** β Ensure efficient data organization and compliance, minimizing time spent addressing data queries or audits.
+3. **Research Coordinators** β Streamline project workflows by contributing accurate metadata, reducing delays in data sharing and project reporting.
+4. **Consortium Members** β Enhance collaboration by contributing standardized data entries, ensuring that datasets are usable across multiple institutions and research projects.
-## Required Fields
-Mandatory fields like 'DSP Dataset Name,' 'DSP Dataset Assay,' 'DSP Dataset Species,' and 'DataDSP_id' are essential for uniquely identifying and categorizing datasets. These attributes ensure completeness and help users locate or reference datasets within repositories.
## Download Template
-To streamline data entry, you can download the [DataDSP CSV template](https://github.com/mc2-center/data-models/raw/main/templates/DataDSP.csv).
+Download the [DataDSP CSV template](https://github.com/mc2-center/data-models/raw/main/templates/DataDSP.csv) for streamlined data entry, ensuring that all required fields are filled out.
## Example Data Entry
@@ -13,20 +21,22 @@ The table below includes sample values to demonstrate proper attribute usage.
| **Attribute** | **Example Value** |
|-----------------------------|-------------------------------------------------------------------------------------------------------------------------|
-| DSP Dataset Name | DSP_Dataset_Sales_Analysis_2020 |
-| DSP Dataset Alias | Sales_Data_2020 |
-| DSP Dataset Assay | Flow Cytometry |
+| DSP Dataset Name | DSP_Dataset_Lung_Research_2021 |
+| DSP Dataset Alias | Syn123456 |
+| DSP Dataset Assay | 3D Bioprinting |
| DSP Dataset Species | Asian Elephant |
| DSP Dataset File Formats | CSV, JSON |
| DSP Planned Upload Date | 2022-12-01 |
| DSP Dataset Grant Number | CA209971 |
-| DSP Dataset Description | "Preprocessed audio data for machine learning models, including frequency components, spectral analysis, etc." |
+| DSP Dataset Description | "A quick description of your data sharing plan." |
| DSP Dataset Destination | "/home/user/datasets/dsp_output" |
| DSP Dataset Url | https://www.example.com/dataset/dsp1234 |
## Full Field Reference
+Below is the full field reference table with attributes and their descriptions.
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/DataDSP.csv)
diff --git a/docs/model/dataset.md b/docs/model/dataset.md
index 13ae7a38..12c1a0e2 100644
--- a/docs/model/dataset.md
+++ b/docs/model/dataset.md
@@ -1,7 +1,15 @@
-This section outlines how to create a valid dataset entry, focusing on required fields, usage instructions, and an example to guide users.
+A **Dataset** refers to a structured collection of data that is organized for analysis, sharing, and research. Datasets can include various types of information such as demographic statistics, experimental results, or survey responses. In MC2 Center-supported projects, dataset entries help ensure data is properly categorized, easily retrievable, and compliant with sharing and storage requirements.
-## Required Fields
-Required fields ensure data accuracy, uniqueness, and discoverability. Fields such as 'Dataset Name', 'Dataset Alias', and 'DatasetView_id' must be filled out to submit an entry successfully.
+This model outlines key attributes that describe and manage datasets, including metadata about the data type, format, number of samples, and related grant information. By maintaining these attributes, datasets can be efficiently tracked and referenced within data repositories.
+
+## **Why You Should Contribute Dataset Entries**
+Contributing dataset entries helps ensure your data is easily discoverable, accurately documented, and compliant with research standards. By providing well-structured dataset metadata, you enhance opportunities for collaboration, boost data citation potential, and reduce administrative overhead for reporting and compliance. Well-documented datasets also help other researchers and stakeholders use your data effectively, increasing its long-term impact.
+
+### **Who Should Be Contributing Dataset Entries?**
+1. **Principal Investigators (PIs)** β Increase the visibility and impact of your research by contributing properly cataloged datasets, making it easier for others to cite and use your work.
+2. **Data Managers** β Improve data organization and retrieval, reducing time spent on requests for data clarification and documentation during audits.
+3. **Research Staff** β Simplify project reporting by ensuring that datasets are complete with accurate descriptions, grant associations, and metadata.
+4. **Collaborators and Partners** β Enhance data interoperability across multiple institutions by contributing standardized entries that support shared research initiatives.
## Download Template
@@ -12,14 +20,14 @@ The table below includes sample values to demonstrate proper attribute usage.
| **Attribute** | **Example Value** |
|-------------------------|---------------------------------------------------------------------------------------------------------|
-| Dataset Name | U.S. Census Data 2019 |
-| Dataset Alias | Census_2019 |
-| Dataset Description | This dataset includes demographic and economic statistics collected in the U.S. Census 2019. |
-| Dataset Url | [https://www.census.gov/data.html](https://www.census.gov/data.html) |
-| Dataset Assay | None |
-| Dataset Species | Human |
-| Dataset Tumor Type | Not applicable |
-| Dataset Tissue | Not applicable |
+| Dataset Name | RNA Sequencing of Lung Cancer Samples 2021 |
+| Dataset Alias | GSE56789 |
+| Dataset Description | This dataset contains RNA sequencing data from 200 lung cancer samples, including gene expression profiles and patient clinical data. It is designed to study differential gene expression and mutation burden across tumor stages. |
+| Dataset Url | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE56789 |
+| Dataset Assay | RNA Sequencing |
+| Dataset Species | Homo sapiens |
+| Dataset Tumor Type | Glioblastoma |
+| Dataset Tissue | Lung |
| Dataset File Formats | CSV, PDF |
| Dataset Grant Number | CA209971 |
| Dataset Pubmed Id | Not applicable |
@@ -30,6 +38,8 @@ The table below includes sample values to demonstrate proper attribute usage.
## Full Field Reference
+Below is the full field reference table with attributes and their descriptions.
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/DatasetView.csv)
{{ read_csv('dataset/template.csv') }}
diff --git a/docs/model/education.md b/docs/model/education.md
index 0c067171..f4c1410a 100644
--- a/docs/model/education.md
+++ b/docs/model/education.md
@@ -1,7 +1,17 @@
-This section provides a simplified guide on how to create an educational resource entry by focusing on required fields, usage instructions, and an example.
+An **Educational Resource** refers to any material designed to support learning and instruction. These resources can take many forms, such as videos, textbooks, simulations, or interactive activities, and are intended to be used by various audiences, including students, teachers, researchers, and lifelong learners. In MC2 Center-supported projects, these entries document key information about educational resources to ensure they are accessible, properly categorized, and easy to reference.
+
+This model defines attributes to describe each resource, including its title, topic, educational level, and usage, to facilitate discovery, sharing, and reuse within educational systems.
+
+## **Why You Should Contribute Educational Resource Entries**
+Contributing educational resource entries helps expand access to valuable learning materials and supports knowledge sharing across the research and educational community. By documenting your resources thoroughly, you increase their discoverability, usability, and impact. Well-structured educational entries also provide opportunities for collaboration, curriculum development, and outreach, ensuring your work benefits a broader audience.
+
+### **Who Should Be Contributing Educational Resource Entries?**
+1. **Educators and Trainers** β Increase the reach of your courses, workshops, and materials by making them easily accessible and categorized for learners.
+2. **Curriculum Developers** β Contribute structured content that aligns with learning objectives and supports interdisciplinary research education.
+3. **Researchers** β Share resources like tutorials, research guides, and recorded presentations to help others understand your methods and findings.
+4. **Knowledge Dissemination Teams** β Ensure your organizationβs educational resources are well-documented, improving outreach and engagement with students, collaborators, and stakeholders.
+5. **Institutional Administrators** β Facilitate better knowledge sharing within and across institutions by maintaining a well-organized repository of training materials.
-## Required Fields
-Certain fields, such as 'Resource Title', 'Resource Link', 'Resource Primary Audience', and 'EducationalResource_id', are mandatory to ensure that resources can be uniquely identified, accessed, and categorized effectively.
## Download Template
Use the [educational resource template](https://github.com/mc2-center/data-models/raw/main/templates/EducationalResource.csv) to streamline your data entry process. The template contains pre-defined required fields.
@@ -20,7 +30,7 @@ The table below includes sample values to demonstrate proper attribute usage.
| Resource Intended Use | Curriculum/Instruction |
| Resource Primary Audience | Teacher |
| Resource Educational Level | High School |
-| Resource Description | This comprehensive e-book offers insights into advanced Python programming techniques. |
+| Resource Description | This comprehensive e-book offers insights into the world of Biology |
| Resource Origin Institution| Smithsonian Institution |
| Resource Language | en |
| Resource Contributors | John Smith, Jane Doe, XYZ Corporation |
@@ -29,6 +39,8 @@ The table below includes sample values to demonstrate proper attribute usage.
## Full Field Reference
+Below is the full field reference table with attributes and their descriptions.
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/EducationalResource.csv)
{{ read_csv('education/template.csv') }}
diff --git a/docs/model/file.md b/docs/model/file.md
index 1fa5a816..c2103832 100644
--- a/docs/model/file.md
+++ b/docs/model/file.md
@@ -1,7 +1,16 @@
-This section explains how to create a valid file entry, focusing on required fields, template usage, and an example for reference.
+A **File** represents a single data unit within a dataset, such as a document, spreadsheet, or image. In research and data management, files are essential for storing and organizing raw or processed data. They provide the foundation for data analysis, sharing, and compliance with storage policies. Properly formatted file entries ensure data can be retrieved, validated, and referenced consistently across projects.
-## Required Fields
-Fields like 'File Url', 'File Assay', 'File Level', 'File Species', 'File Format', and 'File Alias' are mandatory to ensure each file is uniquely identifiable and can be properly categorized and retrieved.
+The attributes in this model describe key metadata about each file, including its format, assay type, species, and associated dataset. These details help maintain file traceability and usability within data repositories.
+
+## **Why You Should Contribute File Entries**
+Contributing file entries ensures that critical data files are accessible, organized, and easily retrievable. By documenting your files with key metadata, you enhance their usability in research workflows and support data sharing and collaboration. Accurate and detailed file entries also help prevent data loss, streamline future analyses, and facilitate compliance with research data management policies.
+
+### **Who Should Be Contributing File Entries?**
+1. **Researchers** β Share and organize key datasets and processed results to improve reproducibility and collaboration across projects.
+2. **Data Managers** β Maintain an organized structure for large-scale data repositories by documenting file attributes like formats, assays, and species.
+3. **Project Leads** β Ensure data generated by your research projects is categorized and described, making it easier for teams to access and reuse.
+4. **Bioinformaticians and Data Analysts** β Provide detailed metadata to streamline data integration, analysis pipelines, and compatibility with downstream tools.
+5. **Collaborative Consortia Members** β Contribute shared resources to foster data transparency, enabling broader collaboration and multi-institution research efforts.
## Download Template
@@ -30,8 +39,8 @@ The table below includes sample values to demonstrate proper attribute usage.
## Full Field Reference
-[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/FileView.csv)
-
+Below is the full field reference table with attributes and their descriptions.
+[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/FileView.csv)
{{ read_csv('file/template.csv') }}
\ No newline at end of file
diff --git a/docs/model/grant.md b/docs/model/grant.md
index 69d21977..bc18c564 100644
--- a/docs/model/grant.md
+++ b/docs/model/grant.md
@@ -1,8 +1,16 @@
-This section explains how to create a valid grant entry, focusing on required fields, template usage, and an example for reference.
+A **Grant** entry captures essential details about funded research projects. Grants support various scientific studies, often involving multiple institutions, investigators, and funding agencies. Accurate grant records facilitate resource tracking, collaboration, and compliance with funding requirements.
-## Required Fields
-Fields like 'Grant Name', 'Grant Number', 'Grant Abstract', 'Grant Type', 'Grant Institution Name', 'Grant Investigator', 'Grant Consortium Name', 'GrantView_id', and 'Grant Start Date' are mandatory to ensure each grant is uniquely identifiable and properly categorized.
+This section outlines how to create a valid grant entry by defining key metadata, including grant type, institution, investigator, and project duration. Proper grant documentation ensures projects can be easily identified, referenced, and managed across research initiatives.
+### **Why You Should Contribute Grant Entries**
+Contributing grant entries ensures that funding sources, research objectives, and project details are transparent and traceable. This helps stakeholders monitor the progress of research initiatives, improves collaboration by connecting teams with similar funding, and supports compliance with reporting and accountability requirements. Accurate grant documentation also strengthens your ability to secure future funding by showcasing project outcomes and impacts.
+
+#### **Who Should Be Contributing Grant Entries?**
+1. **Principal Investigators (PIs)** β Document your funded projects to highlight ongoing research, objectives, and collaborations for visibility and accountability.
+2. **Research Administrators** β Maintain accurate grant records for compliance, progress monitoring, and reporting purposes.
+3. **Data Managers** β Link datasets, publications, and other project outputs to their corresponding funding sources to improve data traceability.
+4. **Grant Writers and Project Coordinators** β Provide detailed grant descriptions and metadata to showcase successful projects and support future funding proposals.
+5. **Consortia and Collaborative Project Leads** β Share grant details to foster transparency and facilitate multi-institutional research efforts across teams and disciplines.
## Download Template
@@ -35,6 +43,8 @@ The table below includes sample values to demonstrate proper attribute usage.
## Full Field Reference
+Below is the full field reference table with attributes and their descriptions.
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/GrantView.csv)
{{ read_csv('grant/template.csv') }}
diff --git a/docs/model/person.md b/docs/model/person.md
index 43d834ee..8ac1fded 100644
--- a/docs/model/person.md
+++ b/docs/model/person.md
@@ -1,8 +1,16 @@
-This section explains how to create a valid person entry in the database, with a focus on required fields, template usage, and a practical example to ensure data consistency and accuracy.
+A **Person** entry provides detailed information about individuals involved in research projects, including their affiliations, roles, and contributions. Accurate person records are essential for tracking collaborations, grant participation, working group involvement, and expertise within scientific initiatives.
-## Required Fields
-Certain fields like 'Name', 'Last Known Institution', 'Working Group Participation', 'Chair Roles', 'Consent For Portal Display', 'Portal Display', 'Person Grant Number', 'Person Consortium Name', and 'PersonView_id' are mandatory to ensure that each entry provides sufficient detail for identification and categorization.
+This section outlines how to create a valid person entry, ensuring that all necessary details are captured to support identification, categorization, and data integration within MC2 Center-supported projects.
+### **Why You Should Contribute Person Entries**
+Contributing person entries enhances collaboration by providing clear visibility into expertise, roles, and project involvement within research teams. It helps connect researchers and contributors across projects, facilitates networking opportunities, and allows stakeholders to easily identify key personnel for collaboration or consultation. Maintaining up-to-date profiles also supports transparency and improves recognition of contributions to research initiatives.
+
+#### **Who Should Be Contributing Person Entries?**
+1. **Researchers and Scientists** β Document your roles, publications, and collaborations to increase visibility within your field and enable others to reach out for partnerships.
+2. **Project Leads and Investigators** β Ensure key contributors to your projects are credited and easily searchable for collaboration and reporting purposes.
+3. **Research Administrators** β Keep records of team members, roles, and working group participation to manage projects efficiently and facilitate compliance reporting.
+4. **Consortium Members** β Share your expertise and involvement across multiple projects or institutions to encourage cross-disciplinary collaboration and integration of research efforts.
+5. **Data Managers** β Link researchers to datasets, tools, and resources they have contributed to ensure traceability and acknowledgment of contributions.
## Download Template
Download the [person entry template](https://github.com/mc2-center/data-models/raw/main/templates/PersonView.csv) for streamlined data entry, ensuring that all required fields are filled out.
@@ -34,6 +42,8 @@ The table below includes sample values to demonstrate proper attribute usage.
## Full Field Reference
+Below is the full field reference table with attributes and their descriptions.
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/PersonView.csv)
{{ read_csv('person/template.csv') }}
\ No newline at end of file
diff --git a/docs/model/publication.md b/docs/model/publication.md
index 3eafb9bf..f11c50c5 100644
--- a/docs/model/publication.md
+++ b/docs/model/publication.md
@@ -1,7 +1,14 @@
-This section outlines how to accurately document a publication entry, ensuring compliance with data model specifications. Use the template and example provided to maintain data accuracy and consistency.
+A **Publication** entry documents key information about scientific articles, research studies, and related materials. Properly recording publications ensures that data is easily traceable, searchable, and meets compliance standards. This section explains how to create a valid publication entry using required fields, templates, and example data for guidance.
-## Required Fields
-Fields such as 'Publication Journal', 'Pubmed Id', 'Pubmed Url', 'Publication Title', 'Publication Year', 'Publication Authors', 'Publication Abstract', 'Publication Assay', 'Publication Tumor Type', 'Publication Tissue', 'Publication Accessibility', 'Publication Grant Number', and 'PublicationView_id' are mandatory to ensure a comprehensive record for each publication.
+### **Why You Should Contribute Publication Entries**
+Contributing publication entries helps highlight research achievements, supports compliance with funding and reporting requirements, and ensures the discoverability of research outputs. Accurate publication records promote transparency, facilitate citation tracking, and showcase the impact of research to stakeholders. Including comprehensive details such as PubMed IDs, keywords, and grant numbers enables efficient data organization and cross-referencing within research ecosystems.
+
+#### **Who Should Be Contributing Publication Entries?**
+1. **Researchers and Authors** β Showcase your research contributions, improve visibility, and enable easier access to your published work through linked identifiers and citations.
+2. **Project Leads and Investigators** β Ensure that key publications resulting from funded research projects are documented, supporting compliance and progress reporting.
+3. **Research Administrators** β Maintain an accurate record of research outputs tied to grants and projects, which aids in tracking productivity and measuring impact.
+4. **Consortium Members** β Document publications across collaborations to highlight the collective research contributions and foster recognition within the scientific community.
+5. **Data Managers** β Link datasets, tools, and studies to their associated publications, providing full context for data provenance and enhancing traceability.
## Download Template
@@ -34,6 +41,8 @@ The table below includes sample values to demonstrate proper attribute usage.
## Full Field Reference
+Below is the full field reference table with attributes and their descriptions.
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/PublicationView.csv)
{{ read_csv('publication/template.csv') }}
\ No newline at end of file
diff --git a/docs/model/study.md b/docs/model/study.md
index 9468bcf9..02190448 100644
--- a/docs/model/study.md
+++ b/docs/model/study.md
@@ -1,7 +1,21 @@
-This section provides detailed guidance for creating and maintaining a study entry in compliance with data model standards. It is essential to follow these specifications to ensure accuracy, consistency, and usability of study-related data.
+A **Study** entry documents key information about research projects, including methodologies, participants, and ethical considerations. Properly maintaining study records ensures that data is compliant with research standards, traceable, and usable across various scientific fields. This section explains how to create and maintain a valid study entry using the required fields, templates, and example data provided.
-## Required Fields
-Certain attributes, such as 'Study Name', 'Study Description', 'Study Investigator', 'Study_id', 'Study Number of Participants', and 'Study De-identification Method Type', are marked as mandatory. Completing these fields ensures a comprehensive and standardized data entry.
+
+### **Why You Should Contribute Study Entries**
+Contributing study entries ensures that critical research details such as methodology, investigators, and related datasets are documented and accessible. This fosters transparency, collaboration, and reproducibility in research. A well-maintained study entry also helps stakeholders understand the scope, purpose, and outcomes of research efforts, enabling better data integration and analysis across projects.
+
+#### **Who Should Be Contributing Study Entries?**
+1. **Principal Investigators (PIs)** β Provide clear documentation of your studies to enhance visibility and demonstrate research contributions for funding agencies and collaborators.
+
+2. **Research Coordinators and Project Leads** β Ensure proper record-keeping of studies under your supervision, supporting compliance, reporting, and resource allocation.
+
+3. **Data Managers** β Create study entries to link related datasets, publications, and tools, improving data provenance and facilitating cross-references within research ecosystems.
+
+4. **Consortium Participants** β Contribute study information to showcase collaborative research efforts and track joint achievements.
+
+5. **Funding Agencies and Grant Monitors** β Monitor study progress by ensuring that all funded research is accurately documented and accessible.
+
+6. **Ethics and Compliance Officers** β Maintain study entries to verify that all necessary de-identification methods, IRB protocols, and data use policies are in place.
## Download Template
@@ -30,6 +44,8 @@ The table below includes sample values to demonstrate proper attribute usage.
## Full Field Reference
+Below is the full field reference table with attributes and their descriptions.
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/Study.csv)
{{ read_csv('study/template.csv') }}
\ No newline at end of file
diff --git a/docs/model/tool.md b/docs/model/tool.md
index 39d90c67..4648d81c 100644
--- a/docs/model/tool.md
+++ b/docs/model/tool.md
@@ -1,9 +1,14 @@
-This section outlines the data attributes for registering and documenting a software tool in a structured and standardized manner. Each attribute in the table below has a distinct purpose, helping improve the usability, traceability, and functionality of the tool in research or technical environments.
+A **Tool** entry documents software applications, utilities, or platforms designed to perform specific operations in research or technical workflows. These tools can include anything from data analysis programs to machine learning frameworks and bioinformatics utilities. Accurate documentation ensures that tools are easily discoverable, traceable, and appropriately integrated into research processes.
+### **Why You Should Contribute Tool Entries**
+Contributing tool entries supports collaboration, reproducibility, and innovation by helping researchers and teams discover and use essential software for data analysis, visualization, and processing. Accurate documentation ensures tools are accessible and impactful across projects.
-## Required Attributes
-Mandatory attributes such as 'Tool Name', 'Tool Description', 'Tool Entity Role', 'Tool Entity Type', 'Tool Release Date', and others are necessary for completeness and usability. These attributes provide essential data points for tool identification, description, and functionality.
-
+#### **Who Should Be Contributing Tool Entries?**
+1. **Developers** β Share tools to boost adoption and integration.
+2. **Researchers** β Document tools for replicability and collaboration.
+3. **Data Scientists** β Ensure tools critical to workflows are recorded.
+4. **Project Managers** β Maintain visibility of tools used across teams.
+5. **IT and Support Specialists** β Provide operational details and support resources.
## Download Template
You can download the [ToolView CSV template](https://github.com/mc2-center/data-models/raw/main/templates/ToolView.csv) to streamline data entry.
@@ -31,6 +36,8 @@ The table below includes sample values to demonstrate proper attribute usage.
## Full Field Reference
+Below is the full field reference table with attributes and their descriptions.
+
[β€ Download template](https://github.com/mc2-center/data-models/raw/main/templates/ToolView.csv)
{{ read_csv('tool/template.csv') }}
diff --git a/modules/dataset/annotationProperty.csv b/modules/dataset/annotationProperty.csv
index 31c3a686..e9a73ca6 100644
--- a/modules/dataset/annotationProperty.csv
+++ b/modules/dataset/annotationProperty.csv
@@ -1,15 +1,15 @@
Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
-Dataset Name,Name of the dataset,,,True,,,,,,"""U.S. Census Data 2019"""
-Dataset Alias,"Alias of the dataset. Must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters.",,,True,,,,,unique,"""Financial Quarter 1 Sales Data 2020"""
-Dataset Description,Description of the dataset.,,,False,,,,,,"This dataset aggregates Netflix programming data from 2019 to 2021. It includes information on the titles of shows/movies, premier date, genres, duration, and audience rating. The data is derived from publicly available information and directly from Netflix. This dataset can be used for programming analysis, viewing trend investigations, and content recommendation research. Each row represents a unique title, and there are no missing values."
-Dataset Design,The overall design of the dataset.,,,False,,,,,,"'Cross-sectional', 'Time-series', 'Pooled Cross-sections', 'Panel data'"
-Dataset Url,The url of where the dataset is stored.,,,True,,,,,url,https://www.kaggle.com/uciml/iris
-Dataset Assay,"The assay the dataset is representative of. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,list like,Dataset Assay: 16S Ribosomal Gene Sequencing Assay
-Dataset Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,True,,,,,list like,Dataset Species: Cat
-Dataset Tumor Type,"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,False,,,,,list like,Dataset Tumor Type: Glioblastoma
-Dataset Tissue,"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,False,,,,,list like,Dataset Tissue: Kidney
+Dataset Name,Name of the dataset,,,True,,,,,,"RNA Sequencing of Lung Cancer Samples 2021"
+Dataset Alias,"Alias of the dataset. Must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters.",,,True,,,,,unique,"GSE56789"
+Dataset Description,Description of the dataset.,,,False,,,,,,"This dataset contains RNA sequencing data from 200 lung cancer samples, including gene expression profiles and patient clinical data. It is designed to study differential gene expression and mutation burden across tumor stages."
+Dataset Design,The overall design of the dataset.,,,False,,,,,,"'Cross-sectional' to compare gene expression in healthy vs. tumor tissues, or 'Time-series' to observe changes during treatment."
+Dataset Url,The url of where the dataset is stored.,,,True,,,,,url,"https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE56789"
+Dataset Assay,"The assay the dataset is representative of. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,list like,"RNA Sequencing"
+Dataset Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,True,,,,,list like,"Homo sapiens"
+Dataset Tumor Type,"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,False,,,,,list like,"Glioblastoma"
+Dataset Tissue,"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,False,,,,,list like,"Lung"
Dataset File Formats,"A list of file formats associated with the dataset. Multiple values permitted, comma separated.","AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,False,,,,,list like,"""Dataset File Formats: AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS."""
-Dataset View,The denormalized manifest for dataset submission.,,"Component, DatasetView_id, Study Key, PublicationView Key, Dataset Name, Dataset Alias, Dataset Description, Dataset Design, Dataset Assay, Dataset Species, Dataset Tumor Type, Dataset Tissue, Dataset Url, Dataset File Formats, Data Use Codes",False,,,Study,,,"Table, Graph, Spreadsheet, List, Map, Card"
-Dataset Grant Number,"Grant number(s) associated with the dataset's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,CA209971
-Dataset Pubmed Id,"The PubMed identifer(s) associated with the development of the dataset. Multiple values permitted, comma separated.",,,False,,,,,list like,25700473
-DatasetView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,"""DatasetView_12345"""
+Dataset View,The denormalized manifest for dataset submission.,,"Component, DatasetView_id, Study Key, PublicationView Key, Dataset Name, Dataset Alias, Dataset Description, Dataset Design, Dataset Assay, Dataset Species, Dataset Tumor Type, Dataset Tissue, Dataset Url, Dataset File Formats, Data Use Codes",False,,,Study,,,"Table, Spreadsheet"
+Dataset Grant Number,"Grant number(s) associated with the dataset's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,"CA209971"
+Dataset Pubmed Id,"The PubMed identifer(s) associated with the development of the dataset. Multiple values permitted, comma separated.",,,False,,,,,list like,"31245678"
+DatasetView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,"DatasetView_67890"
diff --git a/modules/dataset/template.csv b/modules/dataset/template.csv
index c893cce0..7223c85e 100644
--- a/modules/dataset/template.csv
+++ b/modules/dataset/template.csv
@@ -1,15 +1,15 @@
Attribute,Description,Required,Validation Rules,Examples
-Dataset Name,Name of the dataset,True,_None_,"""U.S. Census Data 2019"""
-Dataset Alias,"Alias of the dataset. Must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters.",True,unique,"""Financial Quarter 1 Sales Data 2020"""
-Dataset Description,Description of the dataset.,False,_None_,"This dataset aggregates Netflix programming data from 2019 to 2021. It includes information on the titles of shows/movies, premier date, genres, duration, and audience rating. The data is derived from publicly available information and directly from Netflix. This dataset can be used for programming analysis, viewing trend investigations, and content recommendation research. Each row represents a unique title, and there are no missing values."
-Dataset Design,The overall design of the dataset.,False,_None_,"'Cross-sectional', 'Time-series', 'Pooled Cross-sections', 'Panel data'"
-Dataset Url,The url of where the dataset is stored.,True,url,https://www.kaggle.com/uciml/iris
-[Dataset Assay](../valid_values/dataset.md#attribute-dataset-assay),"The assay the dataset is representative of. Multiple values permitted, comma separated.",True,list like,Dataset Assay: 16S Ribosomal Gene Sequencing Assay
-[Dataset Species](../valid_values/dataset.md#attribute-dataset-species),"The species the data was collected on. Multiple values permitted, comma separated.",True,list like,Dataset Species: Cat
-[Dataset Tumor Type](../valid_values/dataset.md#attribute-dataset-tumor-type),"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.",False,list like,Dataset Tumor Type: Glioblastoma
-[Dataset Tissue](../valid_values/dataset.md#attribute-dataset-tissue),"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.",False,list like,Dataset Tissue: Kidney
+Dataset Name,Name of the dataset,True,_None_,RNA Sequencing of Lung Cancer Samples 2021
+Dataset Alias,"Alias of the dataset. Must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters.",True,unique,GSE56789
+Dataset Description,Description of the dataset.,False,_None_,"This dataset contains RNA sequencing data from 200 lung cancer samples, including gene expression profiles and patient clinical data. It is designed to study differential gene expression and mutation burden across tumor stages."
+Dataset Design,The overall design of the dataset.,False,_None_,"'Cross-sectional' to compare gene expression in healthy vs. tumor tissues, or 'Time-series' to observe changes during treatment."
+Dataset Url,The url of where the dataset is stored.,True,url,https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE56789
+[Dataset Assay](../valid_values/dataset.md#attribute-dataset-assay),"The assay the dataset is representative of. Multiple values permitted, comma separated.",True,list like,RNA Sequencing
+[Dataset Species](../valid_values/dataset.md#attribute-dataset-species),"The species the data was collected on. Multiple values permitted, comma separated.",True,list like,Homo sapiens
+[Dataset Tumor Type](../valid_values/dataset.md#attribute-dataset-tumor-type),"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.",False,list like,Glioblastoma
+[Dataset Tissue](../valid_values/dataset.md#attribute-dataset-tissue),"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.",False,list like,Lung
[Dataset File Formats](../valid_values/dataset.md#attribute-dataset-file-formats),"A list of file formats associated with the dataset. Multiple values permitted, comma separated.",False,list like,"""Dataset File Formats: AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS."""
-Dataset View,The denormalized manifest for dataset submission.,False,_None_,"Table, Graph, Spreadsheet, List, Map, Card"
+Dataset View,The denormalized manifest for dataset submission.,False,_None_,"Table, Spreadsheet"
[Dataset Grant Number](../valid_values/dataset.md#attribute-dataset-grant-number),"Grant number(s) associated with the dataset's development. Multiple values permitted, comma separated.",True,list like,CA209971
-Dataset Pubmed Id,"The PubMed identifer(s) associated with the development of the dataset. Multiple values permitted, comma separated.",False,list like,25700473
-DatasetView_id,A unique primary key that enables record updates using schematic.,True,unique,"""DatasetView_12345"""
+Dataset Pubmed Id,"The PubMed identifer(s) associated with the development of the dataset. Multiple values permitted, comma separated.",False,list like,31245678
+DatasetView_id,A unique primary key that enables record updates using schematic.,True,unique,DatasetView_67890
diff --git a/modules/education/annotationProperty.csv b/modules/education/annotationProperty.csv
index 92ba9250..b3b130be 100644
--- a/modules/education/annotationProperty.csv
+++ b/modules/education/annotationProperty.csv
@@ -3,24 +3,23 @@ Educational Resource,Manifest for describing educational resources.,,"Component,
Resource Title,Title of the item.,,,True,,,,OER,str,"""Introduction to Biology"""
Resource Link,The URL or DOI that links to the item.,,,True,,,,OER,url,https://www.example.com/resource_page.html
Resource Topic,"General topic or research context of the item. If 'other' is selected, please provide additional topics in the 'Resource Secondary Topic' field. Multiple values should be provided as a comma separated list.","Computational Model Development, Computational Resource, Diversity/Equity/Inclusion, Drug Resistance/Sensitivity, Epigenetics, Evolution, Experimental Model Development, Heterogeneity, Immunotherapy, Mechano-genetics, Mechano-resistance, Metabolism, Metastasis, Method/Assay Development, Microenvironment, Oncogenic Stress, Other, Outreach, Platform Development, Training Material, Tumor Progression, Tumor-Immune, Computer Science, Environmental Science, Information Science, Educational Technology, Anatomy/Physiology, Biology, Ecology, Genetics, Nutrition, Measurement and Data, Statistics and Probability, Chemistry, Physics, Systems Biology, Patient Advocacy",,True,,,,OER,list like,Resource Topic: Metabolism
-Resource Activity Type,The type(s) of activities for which the item is intended to be used. Multiple values should be provided as a comma separated list.,"Activity/Lab, Assessment, Case Study, Data Set, Diagram/Illustration, Full Course, Game, Homework/Assignment, Interactive, Lecture, Lecture Notes, Lesson, Lesson Plan, Module, Primary Source, Reading, Simulation, Student Guide, Syllabus, Teaching/Learning Strategy, Textbook, Unit of Study",,True,,,,OER,list like,"Attribute: Resource Activity Type
-Example: Simulation"
+Resource Activity Type,The type(s) of activities for which the item is intended to be used. Multiple values should be provided as a comma separated list.,"Activity/Lab, Assessment, Case Study, Data Set, Diagram/Illustration, Full Course, Game, Homework/Assignment, Interactive, Lecture, Lecture Notes, Lesson, Lesson Plan, Module, Primary Source, Reading, Simulation, Student Guide, Syllabus, Teaching/Learning Strategy, Textbook, Unit of Study",,True,,,,OER,list like,Simulation
Resource Primary Format,"The media type(s) of the item (video, audio, text, etc.) Multiple values should be provided as a comma separated list.","Audio, Braille/BNF, Downloadable docs, eBook, Graphics/Photos, Interactive, Mobile, Text/HTML, Video, Other",,True,,,,OER,list like,Resource Primary Format: Video
Resource Intended Use,The purpose of the material for education. Multiple values should be provided as a comma separated list.,"Curriculum/Instruction, Assessment, Professional Development, Other",,True,,,,OER,list like,"""Resource Intended Use: Curriculum/Instruction"""
Resource Primary Audience,The intended end user audience for the resource. Multiple values should be provided as a comma separated list.,"Student, Teacher, Administrator, Parent, Professor, General Audience, Other",,True,,,,OER,list like,Resource Primary Audience: Teacher
Resource Educational Level,"Educational context (pre-school, lower-primary, upper-primaryβ¦) in which the item was intended to be used. Multiple values should be provided as a comma separated list.","Preschool, Lower Primary, Upper Primary, Middle School, High School, Community College / Lower Division, College / Upper Division, Graduate / Profession, Career / Technical, Adult Education",,True,,,,OER,list like,Resource Educational Level: High School
-Resource Description,Abstract or summary of the item.,,,True,,,,OER,str,"""This comprehensive e-book offering insights into advanced Python programming techniques is available for download. It covers numerous topics including object-oriented programming, data structures, algorithms, decorators, generators, exception handling, testing, and debugging."""
+Resource Description,Abstract or summary of the item.,,,True,,,,OER,str,"""This comprehensive e-book introduces readers to the world of biology"""
Resource Origin Institution,Institution(s) of origin for this item. Multiple values should be provided as a comma separated list.,,,True,,,,OER,list like,Smithsonian Institution
Resource Language,Language of the item (not of the metadata). Multiple values should be provided as a comma separated list.,"aa, ab, ae, af, ak, am, an, ar, as, av, ay, az, ba, be, bg, bh, bi, bm, bn, bo, br, bs, ca, ca, ce, ch, co, cr, cs, cu, cv, cy, da, de, dv, dv, dz, ee, el, en, eo, es, et, eu, fa, ff, fi, fj, fo, fr, fy, ga, gd, gl, gn, gu, gv, ha, he, hi, ho, hr, ht, hu, hy, hz, ia, id, ie, ig, ii, ik, io, is, it, iu, ja, jv, ka, kg, ki, kj, kk, kl, km, kn, ko, kr, ks, ku, kv, kw, ky, la, lb, lg, li, ln, lo, lt, lu, lv, mg, mh, mi, mk, ml, mn, mr, ms, mt, my, na, nb, nd, ne, ng, nl, nn, no, nr, nv, ny, oc, oj, om, or, os, pa, pi, pl, ps, pt, qu, rm, rn, ro, ru, rw, sa, sc, sd, se, sg, si, sk, sl, sm, sn, so, sq, sr, ss, st, su, sv, sw, ta, te, tg, th, ti, tk, tl, tn, to, tr, ts, tt, tw, ty, ug, uk, ur, uz, ve, vi, vo, wa, wo, xh, yi, yo, za, zh, zu",,True,,,,OER,list like::regex search [a-z]{2},Resource Language: en
Resource Contributors,The name(s) of the contributor(s) to the item. Multiple contributor names should be provided as a comma-separated list.,,,True,,,,OER,list like,"John Smith, Jane Doe, XYZ Corporation"
Resource Grant Number,"The grant number(s) associated with the contributor(s) of the item. If no grant number listed is applicable, please select 'Affiliated/Non-Grant Associated'. Multiple values should be provided as a comma separated list.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,MC2/grant,list like,Resource Grant Number: CA217655
-Resource Secondary Topic,"Additional topics or keywords to describe the content of the item, in addition to the primary topic. Multiple values should be provided as a comma-separated list.",,,False,,,,OER,list like,Climate Change Effects
+Resource Secondary Topic,"Additional topics or keywords to describe the content of the item, in addition to the primary topic. Multiple values should be provided as a comma-separated list.",,,False,,,,OER,list like,Cancer Research
Resource License,"The name of the license applied to the item by the contributor(s), if applicable. Multiple values should be provided as a comma separated list.","AAL, ADSL, AFL-1.1, AFL-1.2, AFL-2.0, AFL-2.1, AFL-3.0, AGPL-1.0, AGPL-3.0, AMDPLPA, AML, AMPAS, ANTLR-PD, APAFML, APL-1.0, APSL-1.0, APSL-1.1, APSL-1.2, APSL-2.0, Abstyles, Adobe-2006, Adobe-Glyph, Afmparse, Aladdin, Apache-1.0, Apache-1.1, Apache-2.0, Artistic-1.0, Artistic-1.0-Perl, Artistic-1.0-cl8, Artistic-2.0, BSD-2-Clause, BSD-2-Clause-FreeBSD, BSD-2-Clause-NetBSD, BSD-3-Clause, BSD-3-Clause-Attribution, BSD-3-Clause-Clear, BSD-3-Clause-LBNL, BSD-3-Clause-No-Nuclear-License, BSD-3-Clause-No-Nuclear-License-2014, BSD-3-Clause-No-Nuclear-Warranty, BSD-4-Clause, BSD-4-Clause-UC, BSD-Protection, BSD-Source-Code, BSD-style, BSL-1.0, Bahyph, Barr, Beerware, BitTorrent-1.0, BitTorrent-1.1, Borceux, CATOSL-1.1, CC-BY-1.0, CC-BY-2.0, CC-BY-2.5, CC-BY-3.0, CC-BY-4.0, CC-BY-NC-1.0, CC-BY-NC-2.0, CC-BY-NC-2.5, CC-BY-NC-3.0, CC-BY-NC-4.0, CC-BY-NC-ND-1.0, CC-BY-NC-ND-2.0, CC-BY-NC-ND-2.5, CC-BY-NC-ND-3.0, CC-BY-NC-ND-4.0, CC-BY-NC-SA-1.0, CC-BY-NC-SA-2.0, CC-BY-NC-SA-2.5, CC-BY-NC-SA-3.0, CC-BY-NC-SA-4.0, CC-BY-ND-1.0, CC-BY-ND-2.0, CC-BY-ND-2.5, CC-BY-ND-3.0, CC-BY-ND-4.0, CC-BY-SA-1.0, CC-BY-SA-2.0, CC-BY-SA-2.5, CC-BY-SA-3.0, CC-BY-SA-4.0, CC0-1.0, CDDL-1.0, CDDL-1.1, CECILL-1.0, CECILL-1.1, CECILL-2.0, CECILL-2.1, CECILL-B, CECILL-C, CNRI-Jython, CNRI-Python, CNRI-Python-GPL-Compatible, CPAL-1.0, CPL-1.0, CPOL-1.02, CUA-OPL-1.0, Caldera, ClArtistic, Condor-1.1, Crossword, CrystalStacker, Cube, D-FSL-1.0, DOC, DSDP, Dotseqn, ECL-1.0, ECL-2.0, EFL-1.0, EFL-2.0, EPL-1.0, EUDatagrid, EUPL-1.0, EUPL-1.1, Entessa, ErlPL-1.1, Eurosym, FSFAP, FSFUL, FSFULLR, FTL, Fair, Frameworx-1.0, FreeImage, Freeware, GFDL-1.1, GFDL-1.2, GFDL-1.3, GL2PS, GPL-1.0, GPL-2.0, GPL-3.0, Giftware, Glide, Glulxe, HPND, HaskellReport, IBM-pibs, ICU, IJG, IPA, IPL-1.0, ISC, ImageMagick, Imlib2, Info-ZIP, Intel, Intel-ACPI, Interbase-1.0, JSON, JasPer-2.0, LAL-1.2, LAL-1.3, LGPL-2.0, LGPL-2.1, LGPL-3.0, LGPLLR, LPL-1.0, LPL-1.02, LPPL-1.0, LPPL-1.1, LPPL-1.2, LPPL-1.3a, LPPL-1.3c, Latex2e, Leptonica, LiLiQ-P-1.1, LiLiQ-R-1.1, LiLiQ-Rplus-1.1, Libpng, MIT, MIT-CMU, MIT-advertising, MIT-enna, MIT-feh, MITNFA, MPL-1.0, MPL-1.1, MPL-2.0, MPL-2.0-no-copyleft-exception, MS-PL, MS-RL, MTLL, MakeIndex, MirOS, Motosoto, Multics, Mup, NASA-1.3, NBPL-1.0, NCSA, NGPL, NLOD-1.0, NLPL, NOSL, NPL-1.0, NPL-1.1, NPOSL-3.0, NRL, NTP, Naumen, NetCDF, Newsletr, Nokia, Not licensed, Noweb, Nunit, OCCT-PL, OCLC-2.0, ODbL-1.0, OFL-1.0, OFL-1.1, OGTSL, OLDAP-1.1, OLDAP-1.2, OLDAP-1.3, OLDAP-1.4, OLDAP-2.0, OLDAP-2.0.1, OLDAP-2.1, OLDAP-2.2, OLDAP-2.2.1, OLDAP-2.2.2, OLDAP-2.3, OLDAP-2.4, OLDAP-2.5, OLDAP-2.6, OLDAP-2.7, OLDAP-2.8, OML, OPL-1.0, OSET-PL-2.1, OSL-1.0, OSL-1.1, OSL-2.0, OSL-2.1, OSL-3.0, OpenSSL, Other, PDDL-1.0, PHP-3.0, PHP-3.01, Plexus, PostgreSQL, Proprietary, Python-2.0, QPL-1.0, Qhull, RHeCos-1.1, RPL-1.1, RPL-1.5, RPSL-1.0, RSA-MD, RSCPL, Rdisc, Ruby, SAX-PD, SCEA, SGI-B-1.0, SGI-B-1.1, SGI-B-2.0, SISSL, SISSL-1.2, SMLNJ, SMPPL, SNIA, SPL-1.0, SWL, Saxpath, Sendmail, SimPL-2.0, Sleepycat, Spencer-86, Spencer-94, Spencer-99, SugarCRM-1.1.3, TCL, TMate, TORQUE-1.1, TOSL, UPL-1.0, Unicode-TOU, Unlicense, VOSTROM, VSL-1.0, Vim, W3C, W3C-19980720, WTFPL, Watcom-1.0, Wsuipa, X11, XFree86-1.1, XSkat, Xerox, Xnet, YPL-1.0, YPL-1.1, ZPL-1.1, ZPL-2.0, ZPL-2.1, Zed, Zend-2.0, Zimbra-1.3, Zimbra-1.4, Zlib, bzip2-1.0.5, bzip2-1.0.6, curl, diffmark, dvipdfm, eGenix, gSOAP-1.3b, gnuplot, iMatix, libtiff, mpich2, psfrag, psutils, xinetd, xpp, zlib-acknowledgement",,False,,,,OER,list like,Resource License: Apache-2.0
Resource Use Requirements,"A list of materials, hardware, software, computing power, and network requirements that the end user would need to satisfy before using the resource, if applicable. Multiple values should be provided as a comma separated list.",,,False,,,,OER,str,The software application requires 2GB of RAM and 20GB of hard drive space. It also needs a graphic card supporting OpenGL 2.0. The system must run on Windows 10 or higher.
-Resource Alias,"A unique identifier (DOI, Synapse ID) for the item, if it exists.",,,False,,,,OER,unique,Sales_Database
+Resource Alias,"A unique identifier (DOI, Synapse ID) for the item, if it exists.",,,False,,,,OER,unique,Nan
Resource Internal Identifier,"The institution-specific ID for the item, if applicable. May be non-unique. Multiple values should be provided as a comma separated list.",,,False,,,,OER,list like,ResourceID_56789
Resource Media Accessibility,"Accessibility features (Alternative Text, Audio Description, etc.) incorporated into the item. Multiple values should be provided as a comma separated list.","Alternative Text, Audio Description, Braille, Captions, ChemML, Described Math, Display Transformability, Haptic, High Contrast, Large Print, Latex, Long Description, MathML, Nemeth Braille, Sign Language, Structural Navigation, Tactile Graphics, Text Transcript",,False,,,,OER,list like,"The educational video on the website provides 'Captions' for viewers with hearing impairments, making it an excellent example of 'Resource Media Accessibility'."
Resource Access Hazard,"Sensory hazards (Flashing, Motion, etc.) applicable to the item. Multiple values should be provided as a comma separated list.","Flashing, Motion, Simulation, Sound",,False,,,,OER,list like,"An example for the attribute 'Resource Access Hazard' could be a website for a video game which includes flashing images and intense sequences of motion. The site also uses loud sounds and high intensity simulations which some users can find distressing or harmful, particularly if they have conditions such as epilepsy or severe motion sickness. Therefore, the website has a potential ""Resource Access Hazard."""
-Resource Dataset Alias,"URL or persistent identifier (DOI, Synapse ID) for any dataset(s) that is intended to be used with the item. Multiple values should be provided as a comma separated list.",,,False,,,,MC2/dataset,list like,"""Census Data 2010"""
+Resource Dataset Alias,"URL or persistent identifier (DOI, Synapse ID) for any dataset(s) that is intended to be used with the item. Multiple values should be provided as a comma separated list.",,,False,,,,MC2/dataset,list like,Nan
Resource Tool Link,"URL or persistent identifier (DOI, Synapse ID) for any software or tool that is intended to be used with the item. Multiple values should be provided as a comma separated list.",,,False,,,,MC2/tool,list like,https://www.khanacademy.org/
EducationalResource_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,ER_4567
diff --git a/modules/education/template.csv b/modules/education/template.csv
index 7527a66a..7486f140 100644
--- a/modules/education/template.csv
+++ b/modules/education/template.csv
@@ -3,24 +3,23 @@ Educational Resource,Manifest for describing educational resources.,False,_None_
Resource Title,Title of the item.,True,str,"""Introduction to Biology"""
Resource Link,The URL or DOI that links to the item.,True,url,https://www.example.com/resource_page.html
[Resource Topic](../valid_values/education.md#attribute-resource-topic),"General topic or research context of the item. If 'other' is selected, please provide additional topics in the 'Resource Secondary Topic' field. Multiple values should be provided as a comma separated list.",True,list like,Resource Topic: Metabolism
-[Resource Activity Type](../valid_values/education.md#attribute-resource-activity-type),The type(s) of activities for which the item is intended to be used. Multiple values should be provided as a comma separated list.,True,list like,"Attribute: Resource Activity Type
-Example: Simulation"
+[Resource Activity Type](../valid_values/education.md#attribute-resource-activity-type),The type(s) of activities for which the item is intended to be used. Multiple values should be provided as a comma separated list.,True,list like,Simulation
[Resource Primary Format](../valid_values/education.md#attribute-resource-primary-format),"The media type(s) of the item (video, audio, text, etc.) Multiple values should be provided as a comma separated list.",True,list like,Resource Primary Format: Video
[Resource Intended Use](../valid_values/education.md#attribute-resource-intended-use),The purpose of the material for education. Multiple values should be provided as a comma separated list.,True,list like,"""Resource Intended Use: Curriculum/Instruction"""
[Resource Primary Audience](../valid_values/education.md#attribute-resource-primary-audience),The intended end user audience for the resource. Multiple values should be provided as a comma separated list.,True,list like,Resource Primary Audience: Teacher
[Resource Educational Level](../valid_values/education.md#attribute-resource-educational-level),"Educational context (pre-school, lower-primary, upper-primaryβ¦) in which the item was intended to be used. Multiple values should be provided as a comma separated list.",True,list like,Resource Educational Level: High School
-Resource Description,Abstract or summary of the item.,True,str,"""This comprehensive e-book offering insights into advanced Python programming techniques is available for download. It covers numerous topics including object-oriented programming, data structures, algorithms, decorators, generators, exception handling, testing, and debugging."""
+Resource Description,Abstract or summary of the item.,True,str,"""This comprehensive e-book introduces readers to the world of biology"""
Resource Origin Institution,Institution(s) of origin for this item. Multiple values should be provided as a comma separated list.,True,list like,Smithsonian Institution
[Resource Language](../valid_values/education.md#attribute-resource-language),Language of the item (not of the metadata). Multiple values should be provided as a comma separated list.,True,list like::regex search [a-z]{2},Resource Language: en
Resource Contributors,The name(s) of the contributor(s) to the item. Multiple contributor names should be provided as a comma-separated list.,True,list like,"John Smith, Jane Doe, XYZ Corporation"
[Resource Grant Number](../valid_values/education.md#attribute-resource-grant-number),"The grant number(s) associated with the contributor(s) of the item. If no grant number listed is applicable, please select 'Affiliated/Non-Grant Associated'. Multiple values should be provided as a comma separated list.",True,list like,Resource Grant Number: CA217655
-Resource Secondary Topic,"Additional topics or keywords to describe the content of the item, in addition to the primary topic. Multiple values should be provided as a comma-separated list.",False,list like,Climate Change Effects
+Resource Secondary Topic,"Additional topics or keywords to describe the content of the item, in addition to the primary topic. Multiple values should be provided as a comma-separated list.",False,list like,Cancer Research
[Resource License](../valid_values/education.md#attribute-resource-license),"The name of the license applied to the item by the contributor(s), if applicable. Multiple values should be provided as a comma separated list.",False,list like,Resource License: Apache-2.0
Resource Use Requirements,"A list of materials, hardware, software, computing power, and network requirements that the end user would need to satisfy before using the resource, if applicable. Multiple values should be provided as a comma separated list.",False,str,The software application requires 2GB of RAM and 20GB of hard drive space. It also needs a graphic card supporting OpenGL 2.0. The system must run on Windows 10 or higher.
-Resource Alias,"A unique identifier (DOI, Synapse ID) for the item, if it exists.",False,unique,Sales_Database
+Resource Alias,"A unique identifier (DOI, Synapse ID) for the item, if it exists.",False,unique,Nan
Resource Internal Identifier,"The institution-specific ID for the item, if applicable. May be non-unique. Multiple values should be provided as a comma separated list.",False,list like,ResourceID_56789
[Resource Media Accessibility](../valid_values/education.md#attribute-resource-media-accessibility),"Accessibility features (Alternative Text, Audio Description, etc.) incorporated into the item. Multiple values should be provided as a comma separated list.",False,list like,"The educational video on the website provides 'Captions' for viewers with hearing impairments, making it an excellent example of 'Resource Media Accessibility'."
[Resource Access Hazard](../valid_values/education.md#attribute-resource-access-hazard),"Sensory hazards (Flashing, Motion, etc.) applicable to the item. Multiple values should be provided as a comma separated list.",False,list like,"An example for the attribute 'Resource Access Hazard' could be a website for a video game which includes flashing images and intense sequences of motion. The site also uses loud sounds and high intensity simulations which some users can find distressing or harmful, particularly if they have conditions such as epilepsy or severe motion sickness. Therefore, the website has a potential ""Resource Access Hazard."""
-Resource Dataset Alias,"URL or persistent identifier (DOI, Synapse ID) for any dataset(s) that is intended to be used with the item. Multiple values should be provided as a comma separated list.",False,list like,"""Census Data 2010"""
+Resource Dataset Alias,"URL or persistent identifier (DOI, Synapse ID) for any dataset(s) that is intended to be used with the item. Multiple values should be provided as a comma separated list.",False,list like,Nan
Resource Tool Link,"URL or persistent identifier (DOI, Synapse ID) for any software or tool that is intended to be used with the item. Multiple values should be provided as a comma separated list.",False,list like,https://www.khanacademy.org/
EducationalResource_id,A unique primary key that enables record updates using schematic.,True,unique,ER_4567
diff --git a/modules/file/annotationProperty.csv b/modules/file/annotationProperty.csv
index 1de2b89d..10a7214b 100644
--- a/modules/file/annotationProperty.csv
+++ b/modules/file/annotationProperty.csv
@@ -15,6 +15,5 @@ File Longitudinal Sequence Identifier,"The order in which this file was collecte
File Longitudinal Time Elapsed Unit,The unit of time associated with Sequential and Total Time Elapsed attributes.,,,False,,,,,str,Seconds
File Longitudinal Sequential Time Elapsed,The time elapsed between collecting the current and previous files in this longitudinal group. ,,,False,,,,,num,"""2 hours 45 minutes"""
File Longitudinal Total Time Elapsed,The total time elapsed between the first and current files contained this longitudinal group. ,,,False,,,,,num,"""120 minutes"""
-File Format,The format of the file described by this entry.,"AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,True,,,,,,"Attribute: File Format
-Example: CSV "
+File Format,The format of the file described by this entry.,"AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,True,,,,,,CSV
File Alias,"A string identifier associated with the file. Must be unique. Can be the repository accesssion number (e.g., Synapse ID, GEO identifier such as GSE12345). No Greek Letters or DOIs.",,,True,,,,,unique,"""Breast_Cancer_Gene_Expression.csv"""
diff --git a/modules/grant/annotationProperty.csv b/modules/grant/annotationProperty.csv
index 7716abe9..3e0d5b4f 100644
--- a/modules/grant/annotationProperty.csv
+++ b/modules/grant/annotationProperty.csv
@@ -1,14 +1,14 @@
Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
-Grant Name,Name of the grant,,,True,,,,,,"""COVID-19 Small Business Relief Fund"""
+Grant Name,Name of the grant,,,True,,,,,,"""Research Grant for Cancer Genomics"""
Grant Number,"Number of the grant (i.e. ""CA------"" format)",,,True,,,,,regex search ^CA\d{6}$,DE-FG02-01ER45923
-Grant Abstract,Abstract for the grant,,,True,,,,,,"""This grant aims to study the effects of climate change on the migration patterns of bird species across North America. Over the course of the five-year project, the research team will employ cutting-edge tracking techniques and extensive field work to gather data. The findings will be used to predict future shifts in bird migration, and inform wildlife conservation strategies. In addition, this study will contribute to the broader understanding of the impacts of global warming on biodiversity and ecosystems."""
+Grant Abstract,Abstract for the grant,,,True,,,,,,"""Your grant abstract."""
Grant Type,Type of grant,"R01, R21, R37, U01, U24, U54",,True,,,,,,R37
Grant View,The denormalized manifest for grant submission.,,"Component, GrantView_id, Grant Name, Grant Number, Grant Abstract, Grant Type, Grant Theme Name, Grant Institution Name, Grant Institution Alias, Grant Investigator, Grant Consortium Name, Grant Start Date, NIH RePORTER Link, Duration of Funding, Embargo End Date, Grant Synapse Team, Grant Synapse Project",False,,,,,,Grant View: Public
-Grant Theme Name,Theme(s) associated with the grant. 1...*,"Computational Model Development, Computational Resource, Drug Resistance/Sensitivity, Epigenetics, Evolution, Experimental Model Development, Heterogeneity, Immunotherapy, Mechano-genetics, Mechano-resistance, Metabolism, Metastasis, Method/Assay Development, Microenvironment, Oncogenic Stress, Platform Development, Tumor Progression, Tumor-Immune",,True,,,,,list like,"Interaction, Viral/Bacterial Oncogenesis"
-Grant Institution Name,The full name of the institution(s) associated with the grant. (e.g. Harvard University). 1...*,"Arizona State University, Auburn University, Barrow Neurological Institute, Baylor College Of Medicine, Beth Israel Deaconess Hospital, Boston Medical Center, Boston University, Brigham and Womens Hospital, California Institute of Technology, Childrens Hospital of Philadelphia, City Of Hope, Cleveland Clinic, Cold Spring Harbor Laboratory, Columbia University, Cornell University, Dana-Farber Cancer Institute, Dartmouth College, Duke University, Emory University, Georgia Institute of Technology, Harvard Medical School, Harvard University, Hebrew University of Jerusalem, Houston Methodist, Indiana University, Indiana University - Purdue University Indianapolis, Institute for Systems Biology, Jackson Laboratory, Johns Hopkins University, Lurie Children's Hospital, Massachusetts General Hospital, Massachusetts Institute of Technology, Mayo Clinic, Memorial Sloan Kettering Cancer Center, Moffitt Cancer Center, Northeastern University, New York University, Northwestern University, Oregon Health & Science University, Pacific Northwest National Laboratory, Rockefeller University, Sage Bionetworks, Salk Institute for Biological Studies, St. Jude Children's Research Hospital, Stanford University, Stony Brook University, The University of Texas Health Science Center at San Antonio, University of Alabama at Birmingham, University of Arizona, University of California; Berkeley, University of California; Irvine, University of California; Los Angeles, University of California; San Diego, University of California; San Francisco, University of Chicago, University of Chicago Medical Center, University of Colorado Denver, University of Delaware, University of Florida, University of Illinois, University of Illinois at Chicago, University of Massachusetts Medical School, University of Miami, University of Michigan, University of Nevada Reno, University of Minnesota, University of New South Wales, University of North Carolina at Chapel Hill, University of Pennsylvania, University of Pittsburgh, University of Southern California, University of Texas MD Anderson Cancer Center, University of Texas Southwestern Medical Center, University of Texas at Austin, University of Utah, University of Virginia, University of Washington, University of Wisconsin-Madison, Vanderbilt University, Washington University in St. Louis, Wake Forest, Weill Cornell Medicine, Wistar Institute, Yale University",,True,,,,,list like,Brigham and Womens Hospital
-Grant Institution Alias,The alias of the institution(s) associated with the grant (e.g. UCSD). 1...*,"ASU, AU, BCM, BIDMC, BMC, BU, BWH, Barrow, CHOP, COH, CSHL, Caltech, Cleveland Clinic, Columbia, Cornell, DFCI, Dartmouth, Duke, Emory, GTech, HMS, HUJI, Harvard, Houston Methodist, ISB, IU, IUPUI, JHU, Jackson Laboratory, Lurie Children's Hospital, MGH, MIT, MSKCC, Mayo, Moffitt, NEU, NU, NYU, OHSU, PNNL, Pitt, Rockefeller University, SBU, Sage, Salk, StJude, Stanford, U Miami, UA, UAB, UCBerkeley, UCD, UCI, UCLA, UCMC, UCSD, UCSF, UChicago, UD, UFL, UIC, UMMS, UMichigan, UMinn, UNC, UNR, UNSW, UPenn, USC, UT Austin, UT Southwestern, UTHSCSA, UUtah, UVA, UW, UWM, University of Illinois, University of Texas MD Anderson Cancer Center, Vanderbilt, WUSTL, WCM, Wake Forest, Wistar, Yale",,True,,,,,list like,Stanford
-Grant Investigator,Investigator(s) associated witht the grant. 1...*,,,True,,,,,list like,Dr. John Smith
-Grant Consortium Name,Consortium(s) associated with the grant. 1...1,"CCBIR, CSBC, HTAN, ICBP, MetNet, NCI, NCI Clinical and Translational Exploratory/Developmental Studies, PDMC, PS-ON, Sage Bionetworks, TEC",,True,,,,,,Grant Consortium Name: HTAN
+Grant Theme Name,Theme(s) associated with the grant. ,"Computational Model Development, Computational Resource, Drug Resistance/Sensitivity, Epigenetics, Evolution, Experimental Model Development, Heterogeneity, Immunotherapy, Mechano-genetics, Mechano-resistance, Metabolism, Metastasis, Method/Assay Development, Microenvironment, Oncogenic Stress, Platform Development, Tumor Progression, Tumor-Immune",,True,,,,,list like,"Interaction, Viral/Bacterial Oncogenesis"
+Grant Institution Name,The full name of the institution(s) associated with the grant. (e.g. Harvard University). ,"Arizona State University, Auburn University, Barrow Neurological Institute, Baylor College Of Medicine, Beth Israel Deaconess Hospital, Boston Medical Center, Boston University, Brigham and Womens Hospital, California Institute of Technology, Childrens Hospital of Philadelphia, City Of Hope, Cleveland Clinic, Cold Spring Harbor Laboratory, Columbia University, Cornell University, Dana-Farber Cancer Institute, Dartmouth College, Duke University, Emory University, Georgia Institute of Technology, Harvard Medical School, Harvard University, Hebrew University of Jerusalem, Houston Methodist, Indiana University, Indiana University - Purdue University Indianapolis, Institute for Systems Biology, Jackson Laboratory, Johns Hopkins University, Lurie Children's Hospital, Massachusetts General Hospital, Massachusetts Institute of Technology, Mayo Clinic, Memorial Sloan Kettering Cancer Center, Moffitt Cancer Center, Northeastern University, New York University, Northwestern University, Oregon Health & Science University, Pacific Northwest National Laboratory, Rockefeller University, Sage Bionetworks, Salk Institute for Biological Studies, St. Jude Children's Research Hospital, Stanford University, Stony Brook University, The University of Texas Health Science Center at San Antonio, University of Alabama at Birmingham, University of Arizona, University of California; Berkeley, University of California; Irvine, University of California; Los Angeles, University of California; San Diego, University of California; San Francisco, University of Chicago, University of Chicago Medical Center, University of Colorado Denver, University of Delaware, University of Florida, University of Illinois, University of Illinois at Chicago, University of Massachusetts Medical School, University of Miami, University of Michigan, University of Nevada Reno, University of Minnesota, University of New South Wales, University of North Carolina at Chapel Hill, University of Pennsylvania, University of Pittsburgh, University of Southern California, University of Texas MD Anderson Cancer Center, University of Texas Southwestern Medical Center, University of Texas at Austin, University of Utah, University of Virginia, University of Washington, University of Wisconsin-Madison, Vanderbilt University, Washington University in St. Louis, Wake Forest, Weill Cornell Medicine, Wistar Institute, Yale University",,True,,,,,list like,Brigham and Womens Hospital
+Grant Institution Alias,The alias of the institution(s) associated with the grant (e.g. UCSD). ,"ASU, AU, BCM, BIDMC, BMC, BU, BWH, Barrow, CHOP, COH, CSHL, Caltech, Cleveland Clinic, Columbia, Cornell, DFCI, Dartmouth, Duke, Emory, GTech, HMS, HUJI, Harvard, Houston Methodist, ISB, IU, IUPUI, JHU, Jackson Laboratory, Lurie Children's Hospital, MGH, MIT, MSKCC, Mayo, Moffitt, NEU, NU, NYU, OHSU, PNNL, Pitt, Rockefeller University, SBU, Sage, Salk, StJude, Stanford, U Miami, UA, UAB, UCBerkeley, UCD, UCI, UCLA, UCMC, UCSD, UCSF, UChicago, UD, UFL, UIC, UMMS, UMichigan, UMinn, UNC, UNR, UNSW, UPenn, USC, UT Austin, UT Southwestern, UTHSCSA, UUtah, UVA, UW, UWM, University of Illinois, University of Texas MD Anderson Cancer Center, Vanderbilt, WUSTL, WCM, Wake Forest, Wistar, Yale",,True,,,,,list like,Stanford
+Grant Investigator,Investigator(s) associated witht the grant. ,,,True,,,,,list like,Dr. John Smith
+Grant Consortium Name,Consortium(s) associated with the grant. ,"CCBIR, CSBC, HTAN, ICBP, MetNet, NCI, NCI Clinical and Translational Exploratory/Developmental Studies, PDMC, PS-ON, Sage Bionetworks, TEC",,True,,,,,,Grant Consortium Name: HTAN
GrantView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,"""GV12345"""
Grant Synapse Team,"The Synapse team associated with the grant, created by the MC2 Center",,,False,,,,,url,"Team: Project Management, Permission: Edit"
Grant Synapse Project,"The Synapse project associated with the grant, created by the MC2 Center",,,False,,,,,url,"Synapse_ID: syn123456789, Grant_Name: NIH Brain Initiative Grant"
diff --git a/modules/person/annotationProperty.csv b/modules/person/annotationProperty.csv
index 795111d0..dda27643 100644
--- a/modules/person/annotationProperty.csv
+++ b/modules/person/annotationProperty.csv
@@ -13,8 +13,8 @@ Portal Display,Display content in CCKP,"FALSE, TRUE",,True,,,,,,Portal Display:
Person View,The denormalized manifest for person submission.,,"Component, PersonView_id, GrantView Key, Person Consortium Name, Name, Alternative Names, Email, Url, Orcid Id, Synapse Profile Id, Last Known Institution, Working Group Participation, Chair Roles, Consent For Portal Display, Portal Display, Person Publications, Person Datasets, Person Tools, Person Educational Resources",False,,,Grant View,,,Public Profile View
Person Grant Number,"Grant number(s) associated with the person. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,Person Grant Number: CA202177
Person Consortium Name,"Consortium(s) associated with the person. Multiple values permitted, comma separated.","CCBIR, CSBC, HTAN, ICBP, MetNet, NCI, NCI Clinical and Translational Exploratory/Developmental Studies, PDMC, PS-ON, Sage Bionetworks, TEC",,True,,,,,list like,PDMC
-Person Publications,"A list of the pubmed Ids associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"""Harry Potter and the Sorcerer's Stone"" by J.K. Rowling, ""1984"" by George Orwell, ""To Kill a Mockingbird"" by Harper Lee"
-Person Datasets,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"Name: John Doe,Gender: Male, Birthday: July 1, 1980, Nationality: American, Address: 123 Main Street, Anytown, USA, Phone Number: 123-456-7890, Email: johndoe@email.com, Occupation: Software Engineer, Marital Status: Married, Number of Children: 2"
-Person Tools,"A list of the tool names associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"Hammer, Screwdriver, Laptop, Paintbrush, Scissors"
-Person Educational Resources,"A list of educational resource identifiers associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"College textbooks, online courses, research papers, educational software, library access, tutoring services, webinars, academic journals, study guides, educational workshops, scholarship information."
+Person Publications,"A list of the pubmed Ids associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"""23761710,23761712,23762511"
+Person Datasets,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"GSE12345"
+Person Tools,"A list of the tool names associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,"R Studio, Python, Jupyter Notebook"
+Person Educational Resources,"A list of educational resource identifiers associated with the person. Multiple values permitted, comma separated.",,,False,,,,,list like,Nan
PersonView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,PersonView_12345
diff --git a/modules/publication/annotationProperty.csv b/modules/publication/annotationProperty.csv
index 1bd8dd24..cac68af6 100644
--- a/modules/publication/annotationProperty.csv
+++ b/modules/publication/annotationProperty.csv
@@ -5,14 +5,14 @@ Pubmed Id,The PubMed identifier associated with the publication.,,,True,,,,,uniq
Pubmed Url,Pubmed URL for the publication,,,True,,,,,url,https://www.ncbi.nlm.nih.gov/pubmed/12345678
Publication Title,Title of the publication,,,True,,,,,,"""The New York Times"""
Publication Year,Year of the publication,,,True,,,,,,2018
-Publication Keywords,"Keywords associated with the publication. Multiple values permitted, comma separated.",,,False,,,,,list like,"""Climate Change, Global Warming, Greenhouse Gases, Environmental Impact, Sustainability"""
-Publication Authors,"Authors of the publication. Multiple values permitted, comma separated.",,,True,,,,,list like,"""J.K. Rowling, Stephen King, Jane Austen"""
-Publication Abstract,The abstract of the publication.,,,True,,,,,,"""This article explores the developmental effects of cannabinoid exposure in zebrafish, one of the important vertebrate model systems in functional and comparative genomics. Drawing from a series of rigorous molecular analysis, the study establishes that prolonged exposure to cannabinoids impairs critical developmental processes at particular stages. The findings of this research not only contribute to our understanding of zebrafish neurobiology but also raise critical implications for human health, particularly in the context of increasing medicinal use of cannabinoids."""
-Publication Assay,"Assay(s) associated with the publication. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,list like,Publication Assay: In Vivo Bioluminescence
+Publication Keywords,"Keywords associated with the publication. Multiple values permitted, comma separated.",,,False,,,,,list like,"""Cancer Pathways, Inflammation, Tumor Microenvironment"""
+Publication Authors,"Authors of the publication. Multiple values permitted, comma separated.",,,True,,,,,list like,"""Dr. Sarah Johnson, Dr. Michael Lee, Prof. Amanda Carter"""
+Publication Abstract,The abstract of the publication.,,,True,,,,,,Nan
+Publication Assay,"Assay(s) associated with the publication. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,list like,In Vivo Bioluminescence
Publication Tumor Type,"Tumor type(s) associated with the publication. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,True,,,,,list like,Acute Lymphoblastic Leukemia
-Publication Tissue,"Tissue type(s) associated with the publication. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,True,,,,,list like,Publication Tissue: Brain
-Publication Accessibility,Whether there are non-monetary restrictions on accessing an the publication.,"Open Access, Restricted Access",,True,,,,,,Publication Accessibility: Open Access
+Publication Tissue,"Tissue type(s) associated with the publication. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,True,,,,,list like,Brain
+Publication Accessibility,Whether there are non-monetary restrictions on accessing an the publication.,"Open Access, Restricted Access",,True,,,,,,Open Access
Publication View,The denormalized manifest for publication submission.,,"Component, PublicationView_id, Study Key, Publication Doi, Publication Journal, Pubmed Id, Pubmed Url, Publication Title, Publication Year, Publication Keywords, Publication Authors, Publication Abstract, Publication Assay, Publication Tumor Type, Publication Tissue, Publication Accessibility",False,,,Study,,,Online
-Publication Grant Number,"Relevant grant number associated witht the publication's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,Publication Grant Number: CA202123
-Publication Dataset Alias,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the publication. Multiple values permitted, comma separated.",,,False,,,,,list like,"""Annual Crime Report 2020"""
-PublicationView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,1012
+Publication Grant Number,"Relevant grant number associated witht the publication's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,CA202123
+Publication Dataset Alias,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the publication. Multiple values permitted, comma separated.",,,False,,,,,list like,"GSE45678, DOI:10.1000/exampledataset"
+PublicationView_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,PublicationView_45678
diff --git a/modules/sharingPlans/annotationProperty.csv b/modules/sharingPlans/annotationProperty.csv
index 27c1538c..c9fc9136 100644
--- a/modules/sharingPlans/annotationProperty.csv
+++ b/modules/sharingPlans/annotationProperty.csv
@@ -1,16 +1,14 @@
Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
-DataDSP,Dataset sharing plan information. Used to indicate planned usage of MC2 Center supported Synapse projects.,,"Component, DataDSP_id, Study Key, DatasetView Key, DSP Dataset Alias, DSP Dataset Name, DSP Dataset Url, DSP Dataset Assay, DSP Dataset Level, DSP Dataset Species, DSP Dataset Tumor Type, DSP Dataset Tissue, DSP Dataset File Formats, DSP Number of Files, DSP Number of Samples, DSP Number of Participants, DSP Storage Size, DSP Dataset Description, DSP Planned Upload Date, DSP Planned Release Date, DSP Data Use Codes, DSP IRB Form, DSP Dataset Destination",False,,,Study,,,100Hz
-DSP Dataset Name,Name of the dataset,,,True,,,,,str,DSP_Dataset_Sales_Analysis_2020
-DSP Dataset Alias,"Alias of the dataset. For Synapse storage, the Synapse id associated with the dataset should be used. Must be unique.",,,False,,,,,unique,"""Sales_Data_2020"""
-DSP Dataset Assay,"The type of data contained in this group of files. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,list like,"In the DSP (Data Submission Portal) dataset, the Assay attribute for my example would be 'Flow Cytometry'. This assay allows for detailed multiparametric analysis of thousands of individual cells in a fast and efficient manner."
-DSP Dataset Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,True,,,,,list like,DSP Dataset Species: Asian Elephant
-DSP Dataset Tumor Type,"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,False,,,,,list like,"Attribute: DSP Dataset Tumor Type
-Example: Lung Carcinoma"
+DataDSP,Dataset sharing plan information. Used to indicate planned usage of MC2 Center supported Synapse projects.,,"Component, DataDSP_id, Study Key, DatasetView Key, DSP Dataset Alias, DSP Dataset Name, DSP Dataset Url, DSP Dataset Assay, DSP Dataset Level, DSP Dataset Species, DSP Dataset Tumor Type, DSP Dataset Tissue, DSP Dataset File Formats, DSP Number of Files, DSP Number of Samples, DSP Number of Participants, DSP Storage Size, DSP Dataset Description, DSP Planned Upload Date, DSP Planned Release Date, DSP Data Use Codes, DSP IRB Form, DSP Dataset Destination",False,,,Study,,,NaN
+DSP Dataset Name,Name of the dataset,,,True,,,,,str,DSP_Dataset_Lung_Research_2021
+DSP Dataset Alias,"Alias of the dataset. For Synapse storage, the Synapse id associated with the dataset should be used. Must be unique.",,,False,,,,,unique,Syn123456
+DSP Dataset Assay,"The type of data contained in this group of files. Multiple values permitted, comma separated.","10-cell RNA Sequencing, 16S Ribosomal Gene Sequencing Assay, 3' RNA-seq, 3C, 3C-qPCR, 3D Bioprinting, 3D Cell Culture, 4C, 5C, ATAC-Seq, ATP Bioluminescence Assay, Affinity Purification Mass Spectrometry, Allograft, Amplicon Sequencing, Angiogenesis Assay, Apoptosis Assay, Atomic Absorption Spectrophotometry, Atomic Absorption Spectroscopy, Atomic Force Microscopy, Autoradiography, Barcode-Seq, Bicinchoninic Acid Assay, Binding Assay, Bio-Layer Interferometry, Bioluminescence Imaging, Bisulfite Sequencing, Brightfield Microscopy, Brillouin Microscopy, CASFISH, CITE-seq, CLIP-qPCR, CRISPR, CUT&RUN, CUT&Tag-Sequencing, Cell Adhesion Assay, Cell Proliferation Assay, Cell Viability Assay, Cell-spreading Assay, CellTiter-Glo Luminescent Cell Viability Assay, Cerenkov Luminescence Imaging, ChIA-PET, ChIP-PCR, ChIP-Seq, ChIP-qPCR assay, Chemiluminescent Assay, Chemotaxis Assay, Circular Dichroism Spectroscopy, Co-Immunoprecipitation, Co-culture Assay, Collision-Induced Dissociation, Colorimetric Cell Viability Assay, Computational Modeling, Computational Tool, Computed Tomography, Confocal Microscopy, Confocal Reflectance Quantitative Phase Microscopy, Cross-Linking Immunoprecipitation High-throughput Sequencing, Cross-Linking Mass Spectrometry, Cyclic Immunofluorescence, Cytochemical Stain, Cytokine Expression Profile, Cytometric Bead Array Assay, Cytotoxicity Assay, DBiT-Seq, DNA Gene-Expression Microarray, DNA Methylation Array, DNA Sequencing, DNase-Seq, DRIP-seq, Dark Field Microscopy, Deep Mutational Scanning, Desorption Electrospray Ionization, Dideoxy Chain Termination DNA Sequencing, Differential Interference Contrast Microscopy, Differential Scanning Fluorimetry, Diffusion Weighted Imaging, Direct Long-Read RNA Sequencing, Drop-Seq, Droplet Digital PCR, Dual-Luciferase Reporter Assay, Dye Endocytosis Assay, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Dynamic Force Spectroscopy, Dynamic Light Scattering, Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, ELISA, Efferocytosis Assay, Electron Diffraction, Electron Microscopy, Electron Paramagnetic Resonance Spectroscopy, Electrophoretic Mobility Shift Assay, Electrospray Ionization Time-of-Flight Mass Spectrometry, Endotoxin Assay, Energy-Dispersive X-Ray Spectroscopy, Enzyme Activity Assay, Enzyme-Linked Immunospot Assay, Epidemiological Method, FAIRE-Seq, FISH, Flow Cytometry, Fluorescence Activated Cell Sorting, Fluorescence Correlation Spectroscopy, Fluorescence Imaging, Fluorescence Lifetime Imaging Microscopy, Fluorescence Microscopy, Fluorescence Recovery After Photo-Bleaching, Fluorescent Antibody Procedure, Fluorescent Cell Barcoding, Fluorescent In Situ Sequencing , Focused Ion Beam Scanning Electron Microscopy, Forster Resonance Energy Transfer, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, Gas Chromatography Mass Spectrometry, Gelatin Zymography, Genotyping, Global Chromatin Profiling, Global Run-On Sequencing, Graphite Furnace Atomic Absorption Spectrometry, HL-Chip, HPLC-MSMS, Hematoxylin and Eosin Staining Method, Hi-C, HiChIP, High Throughput Screening, High-Content Screen, Hydrogels, Hydrophilic Interaction Chromatography, Image Cytometry, Imaging, Immobilized Metal Affinity Chromatography, ImmunoFISH, Immunoassay, Immunocytochemistry, Immunohistochemistry Staining Method, Immunoprecipitation, In Situ Hybridization, In Vitro Cell Killing Assay, In Vitro Model, In Vitro Selection, In Vitro Translation, In Vivo Bioluminescence, In-Cell Western Assay, Inductively-Coupled Plasma Mass Spectrometry, Interference Reflection Microscopy, Intravital Microscopy, Invasion Assay, Karyotyping, Knife-Edge Scanning Microscopy, L1000 mRNA Profiling Assay, Lattice Light Sheet Microscopy, Liquid Chromatography Mass Spectrometry, Liquid Chromatography/Tandem Mass Spectrometry, Low-Vacuum Scanning Electron Microscopy, Luciferase Reporter Assay, Luminescent Cell Viability Assay, MALDI-TOF Mass Spectrometry, MEMA Cell Growth Assay, MNase-Seq, MULTI-Seq, Macrophage Polarization Assay, Magnetic Resonance Imaging, Magnetic Tweezers, Magnetic Twisting Cytometry, Magnetically Activated Cell Sorting, Mammosphere Formation Assay, Mass Cytometry, Mass Spectrometry, Mathematical Modeling, MeDIP, MeRIP-Seq, Methyl Binding Domain Sequencing, Methylation-Specific PCR, Micro-computed Tomography, MicroRNA Expression Array, MicroRNA Sequencing, Microcontact Printing, Microfluidics, Micropipette Adhesion Assay, Micropipette Aspiration, Microscopy, Migration Assay, Mint-ChIP, Modeling, Molecular Simulations, Monolayer Stress Microscopy, Multi-Angle Light Scattering, Multi-Isotope Mass Spectrometry, Multiparametric Magnetic Resonance Imaging, Multiphoton Microscopy, Multiplexed Error-Robust Fluorescence In Situ Hybridization, Multiplexed Immunofluorescence, Multiplexed Immunohistochemistry, Multiplexed Ion Beam Imaging, Murine Model, Nano-hmC-Seal, NanoString Digital Spatial Profiling, Nanopatterning, Nanopore Sequencing, Nanowire, Nested PCR, Next Generation Sequencing, Nm-seq, Not Applicable, Nuclear Magnetic Resonance, Optical Coherence Tomography, Optical Emission Spectroscopy, Optical Mapping, Optical Stretcher, Optical Tweezers, Optogenetic Assay, Organoid, PCR, PET-CT, Paraquat Survival Assay, Partial Wave Spectroscopy, Patient Derived Xenograft, Pending Annotation, Permeability Assay, Phagocytosis Assay, Photoacoustic Imaging, Photolithography, Plasmid Construction, PlateSeq, Point Accumulation for Imaging in Nanoscale Topography, Positron Emission Tomography, Precision Run-On Sequencing, Proteomics Assay, Proximity Ligation Assay, Pull-Down Assay, QFISH, Quantitative Multiplex Immunofluorescence, Quantitative Point Accumulation for Imaging in Nanoscale Topography, Questionnaire, RAS Protein Family Activation Assay, RIP, RIP-Seq, RNA Sequencing, RNAi Screen, RT-PCR, RT-qPCR, Raman Spectroscopy, Reduced Representation Bisulfite Sequencing, Reverse Phase Protein Array, Reverse-Phase High-Performance liquid Chromatography, Rheometry, Ribo-Seq, Ribosomal P Protein Antibody Measurement, Scanning Angle Interference Microscopy, Scanning Electron Microscopy, Second-Harmonic Imaging Microscopy, Shotgun Mass Spectrometry, Single Cell ATAC-Seq, Single Cell Cytokine Detection Chip Assay, Single Cell DNA Sequencing, Single Cell Gel Electrophoresis, Single Cell RNA-Sequencing, Single Molecule Forster Resonance Energy Transfer, Single Nucleotide Polymorphism Array, Single Nucleus RNA-Sequencing, Single-Cell BCR Sequencing, Single-Cell Barcode Chip, Single-Cell TCR Sequencing, Single-Molecule Tracking, Sirius Red Staining, Size Exclusion Chromatography, Small-Angle X-ray Scattering, Soft Agar Assay, Southern Blotting, Spectroscopy, Statistical Modeling, Stimulated Emission Depletion Microscopy, Stimulated Raman Scattering, Stochastic Optical Reconstruction Microscopy, Super-Resolution Microscopy, Surface Plasmon Resonance, Surveyor Nuclease Assay, Synaptophysin Staining Method, Synthetic Genetic Array, TAB-Seq, TCR Sequencing, TIRF Microscopy, TRAP Staining, TUNEL assay, Tandem Mass Spectrometry, Tandem Mass Tagging, Target Engagement Assay, Targeted Genome Sequencing, Targeted Transcriptome Sequencing, Thermal Shift Assay, Thin-Layer Chromatography, Tiling Array, Time Lapse Microscopy, Time-Correlated Single Photon Counting, Tissue Engineering, Tissue Microarray, Total Internal Reflection Fluorescence Microscopy, Traction Force Microscopy, Transmission Electron Microscopy, Transwell Assay, UPLC-MSMS, UV Photocrosslinking, Unspecified, Vibrational Spectroscopy, Virus Plaque Assay, Von Kossa Staining, Western Blotting, Whole Exome Sequencing, Whole Genome Bisulfite Sequencing, Whole Genome Sequencing, Widefield Fluorescence Microscopy, Wound-Healing Assay, X-Ray Crystallography, X-Ray Diffraction, X-Ray Micro-Computed Tomography, Xenograft, cDNA Array, eCLIP-Seq, mRNA Sequencing, qPCR, scCGI-seq, scNT-Seq, scSLAM-seq, seqFISH, shRNA, siRNA, smFISH, smRNA-seq, snRNA-seq, Isothermal Titration Calorimetry, Suspended Microchannel Resonator, 10x Multiome, Visium Spatial Gene Expression, Antitumor Drug Screening Assay, Bioelectrochemical Analysis, Chimeric Antigen Receptor T-Cell Therapy, Cell Cycle Assay, Clonality Analysis, Comparative Genomic Hybridization, Cryo-Electron Microscopy, Cryo-Electron Tomography, Data Integration, Field-Emission Scanning Electron Microscopy, Label-free Protein Quantification by LC/MS, Metabolite Profiling Assay, Reporter Gene Assay, Single-Molecule Localization Microscopy, Synthesis, Targeted Therapy Agent, Trichrome Staining Method, Ultrasound Imaging, Transcription profiling by NanoString, Alcian Blue Staining Method, Artificial Intelligence, Cell Culture, Clinical Study, Cell-free Circulating Tumor DNA Assay, Co-Immunoprecipitation Mass Spectrometry, Deep Learning, Fluorescent In Situ Sequencing, Gene Ontology Enrichment Analysis, Gene Set Enrichment Analysis, Gene Silencing , Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Culture, Imaging Mass Cytometry, Immunofluorescent Staining Method, Immunotherapy, Viral Transduction, Metastatic Colonization Assay, Phylogenetic Analysis, Picrosirius Staining, Scratch Assay, Structural Variant Analysis, Survival Analysis, Targeted Error Correction Sequencing, Tuba-Seq, SDS-PAGE, Cell Fractionation, Multiscale Light Sheet Microscopy, Light Sheet Microscopy",,True,,,,,list like,"3D Bioprinting"
+DSP Dataset Species,"The species the data was collected on. Multiple values permitted, comma separated.","African Bush Elephant, Armadillo, Asian Elephant, Boar, Cat, Chicken, Cow, Dog, Escherichia coli, Guinea Pig, Horse, Human, Human Patient, Human Cell Line, Mouse, Multispecies, Opossum, Rabbit, Rat, Rhesus monkey, Sheep, Trichoplax adhaerens, Unknown, Unspecified, Worm, Yeast, Fruit Fly, Zebrafish",,True,,,,,list like,Asian Elephant
+DSP Dataset Tumor Type,"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.","Cutaneous Melanoma, Acinar Cell Carcinoma, Acute Lymphoblastic Leukemia, Acute Monocytic Leukemia, Acute Myeloid Leukemia, Acute Promyelocytic Leukemia, Adenocarcinoma, Angiosarcoma, Astrocytoma, Atypical Teratoid/Rhabdoid Tumor, B Acute Lymphoblastic Leukemia, B-Cell Non-Hodgkin Lymphoma, Barrett Esophagus, Basal Cell Neoplasm, Basal-Like Breast Carcinoma, Biliary Tract Carcinoma, Bladder Carcinoma, Bladder Neoplasm, Bone Neoplasm, Brain Neoplasm, Breast Adenocarcinoma, Breast Carcinoma, Breast Neoplasm, Carcinoma, Carcinoma In Situ, Castration-Resistant Prostate Carcinoma, Cellular Schwannoma, Central Nervous System Cavernous Hemangioma, Central Nervous System Neoplasm, Cerebellar Neoplasm, Cervical Carcinoma, Cervical Neoplasm, Cervical Small Cell Carcinoma, Cholangiocarcinoma, Chondroblastoma, Choriocarcinoma, Chronic Lymphocytic Leukemia, Chronic Myeloid Leukemia, Clear Cell Renal Cell Carcinoma, Colon Adenocarcinoma, Colon Carcinoma, Colorectal Adenocarcinoma, Colorectal Adenoma, Colorectal Carcinoma, Colorectal Neoplasm, Combined Hepatocellular Carcinoma and Cholangiocarcinoma, Craniopharyngioma, Cutaneous T Cell Lymphoma, Diffuse Large B-Cell Lymphoma, Ductal Breast Carcinoma In Situ, Dysembryoplastic Neuroepithelial Neoplasm, Endometrial Carcinoma, Endometrial Neoplasm, Ependymoma, Esophageal Adenocarcinoma, Esophageal Carcinoma, Esophageal Squamous Cell Carcinoma, Ewing Sarcoma, Extraventricular Neurocytoma, Fibroepithelial Polyp, Fibrolamellar Carcinoma, Fibrosarcoma, Follicular Lymphoma, Gallbladder Carcinoma, Gastric Adenocarcinoma, Gastric Carcinoma, Gastric Neoplasm, Gastroesophageal Adenocarcinoma, Gastroesophageal Junction Adenocarcinoma, Gastrointestinal Stromal Neoplasm, Giant Cell Tumor, Glioblastoma, Glioma, Head and Neck Carcinoma, Head and Neck Neoplasm, Head and Neck Squamous Cell Carcinoma, Hepatocellular Carcinoma, High Grade Ovarian Serous Adenocarcinoma, Histiocytic Sarcoma, Hodgkin Lymphoma, Intestinal Neoplasm, Intrahepatic Cholangiocarcinoma, Invasive Ductal Breast Carcinoma, Kaposi Sarcoma, Leiomyoma, Leukemia, Liver and Intrahepatic Bile Duct Carcinoma, Liver and Intrahepatic Bile Duct Neoplasm, Low Grade Glioma, Luminal A Breast Carcinoma, Lung Adenocarcinoma, Lung Carcinoma, Lung Neoplasm, Lung Non-Small Cell Carcinoma, Lung Small Cell Carcinoma, Lung Squamous Cell Carcinoma, Lymphoid Leukemia, Lymphoma, Malignant Brain Neoplasm, Malignant Digestive System Neoplasm, Malignant Genitourinary System Neoplasm, Malignant Glioma, Malignant Neoplasm, Malignant Ovarian Neoplasm, Malignant Pancreatic Neoplasm, Malignant Peripheral Nerve Sheath Tumor, Malignant Peritoneal Neoplasm, Malignant Skin Neoplasm, Mantle Cell Lymphoma, Marginal Zone Lymphoma, Medulloblastoma, Melanoma, Meningioma, Mesothelioma, Multiple Myeloma, Mycosis Fungoides, Myeloid Leukemia, Myeloid Neoplasm, Myeloproliferative Neoplasm, Myoepithelioma, Nasopharyngeal Carcinoma, Neuroblastoma, Neuroendocrine Neoplasm, Neuroepithelial Neoplasm, Neurofibroma, Non-Functioning Pituitary Gland Adenoma, Non-Hodgkin Lymphoma, Not Applicable, Oral Cavity Neoplasm, Oral Cavity Squamous Cell Carcinoma, Oropharyngeal Neoplasm, Osteosarcoma, Ovarian Adenosarcoma, Ovarian Carcinoma, Ovarian Neoplasm, Ovarian Serous Adenocarcinoma, Pan-cancer, Pancreatic Adenocarcinoma, Pancreatic Carcinoma, Pancreatic Ductal Adenocarcinoma, Pancreatic Neoplasm, Pancreatic Neuroendocrine Carcinoma, Pending Annotation, Penile Carcinoma, Pheochromocytoma, Pilocytic Astrocytoma, Pituitary Gland Adenoma, Plasmablastic Lymphoma, Plasmacytoma, Plexiform Schwannoma, Precursor B-cell lymphoblastic leukemia, Primary Central Nervous System Lymphoma, Primary Myelofibrosis, Prostate Adenocarcinoma, Prostate Carcinoma, Prostate Neoplasm, Rectal Adenocarcinoma, Renal Cell Carcinoma, Retinoblastoma, Rhabdomyosarcoma, Rosette-Forming Glioneuronal Tumor, Salivary Gland Adenoid Cystic Carcinoma, Sarcoma, Schwannoma, Serous Tubal Intraepithelial Carcinoma, Sinonasal Squamous Cell Carcinoma, Skin Carcinoma, Skin Neoplasm, Soft Tissue Sarcoma, Squamous Cell Carcinoma, Synovial Sarcoma, T Acute Lymphoblastic Leukemia, T-Cell Lymphoma, Teratoma, Testicular Embryonal Carcinoma, Thyroid Gland Anaplastic Carcinoma, Thyroid Gland Carcinoma, Thyroid Gland Noninvasive Follicular Neoplasm with Papillary-Like Nuclear Features, Triple-Negative Breast Carcinoma, Urothelial Carcinoma, Uterine Adenosarcoma, Uveal Melanoma, Uveal Neoplasm, Vascular Neoplasm, Not-Applicable, Plexiform Neurofibroma",,False,,,,,list like,Lung Carcinoma
DSP Dataset Tissue,"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.","Gonad, Abdominal Esophagus, Adipose Tissue, Adrenal Gland, Alveolus, Aorta, Artery, Ascending Colon, Bile Duct, Bladder, Blood, Blood Vessel, Bone, Bone Marrow, Brain, Breast, Caecum, Cancer-Associated Fibroblast, Cardia, Cartilage, Cervix Uteri, Choroid, Colon, Connective and Soft Tissue, Cornea, Duodenum, Ear, Embryo, Embryonic Heart, Endocervix, Endometrium, Endothelium, Epithelium, Esophagus, Eye, Fallopian Tube, Foreskin, Frontal Lobe, Gastroesophageal Junction, Gastrointestinal Tract, Genitourinary, Hair Follicle, Head and Neck, Heart, Heart Muscle, Hematopoietic System, Hippocampus, Intestine, Intra-Abdominal Lymph Nodes, Intrathoracic Lymph Nodes, Joint, Kidney, Larynx, Ligament, Liver, Lung, Lymph, Lymph Node, Lymph Nodes of Axilla or Arm, Lymph Nodes of Inguinal Region or Leg, Lymphatic System, Lymphoid Tissue, Main Bronchus, Mammary Gland, Meninges, Mesenchyme, Mucosa, Muscle, Nasal Cavity, Nervous System, Not Applicable, Olfactory Mucosa, Omentum, Oral Cavity, Oral Mucosa, Ovary, Pancreas, Pelvic Lymph Nodes, Pending Annotation, Periodontal Ligament, Peripheral Nerves, Peritoneum, Pharynx, Pituitary Gland, Placenta, Pleura, Prostate Gland, Rectum, Reproductive System, Respiratory System, Salivary Gland, Sclera, Sinonasal Tract, Skin, Small Intestine, Spinal Cord, Spleen, Stomach, Synovial Membrane, Tendon, Testis, Thymus, Thyroid Gland, Tongue, Tonsil, Trachea, Umbilical Cord, Unspecified, Uterus, Vagina, Vascular Endothelium, Vein, Vertebra, Peripheral Blood Mononuclear Cell",,False,,,,,list like,Brain
-DSP Dataset File Formats,"A list of file formats associated with the dataset. Multiple values permitted, comma separated.","AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,False,,,,,list like,"Attribute: DSP Dataset File Formats
-Example: CSV"
+DSP Dataset File Formats,"A list of file formats associated with the dataset. Multiple values permitted, comma separated.","AVI, BAI, BAM, BED, CDS, CHP, COOL, CSV, DAE, DB, DS_Store, FASTA, FASTQ, FCS, FIG, FREQ, GCG, GCT, GCTx, GFF3, GTF, GZIP Format, HDF, HDF5, HTML, IDAT, JPG, JSON, LIF, MAP, MAT, MATLAB script, MSF, MTX, PDF, PNG, PZFX, Python Script, R File Format, RAW, RDS, ROUT, RPROJ, RTF, SGI, SRA, STAT, TAR Format, TDF, TIFF, TSV, TXT, VCF, WIG, XML, ZIP, bed12, bedgraph, cel, cloupe, docx, mzIdentML, mzXML, pptx, rcc, xls, xlsx, MGF, BIGWIG, H5AD, H5, SF, PKL, BPM, Unspecified, Pending Annotation, maf, CLS, SCN, SVS",,False,,,,,list like,CSV
DataDSP_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,DataDSP_56789
-DSP Dataset Level,The level of processing associated with the dataset.,"Level 1, Level 2, Level 3, Level 4, Auxiliary, Not Applicable",,False,,,,,list like,DSP Dataset Level: Level 3
+DSP Dataset Level,The level of processing associated with the dataset.,"Level 1, Level 2, Level 3, Level 4, Auxiliary, Not Applicable",,False,,,,,list like,Level 3
DSP Number of Files,The number of files that will be uploaded as part of this dataset.,,,False,,,,,num,25
DSP Number of Samples,The number of biospecimens associated with the files included in the dataset,,,False,,,,,num,50000
DSP Number of Participants,The number of individuals or model organisms from which samples were collected to generate the dataset.,,,False,,,,,num,12
@@ -21,5 +19,5 @@ DSP Dataset Grant Number,"Grant number(s) associated with the dataset's developm
DSP Dataset Url,The url of where the dataset is or will be stored.,,,False,,,,,url,https://www.example.com/dataset/dsp1234
DSP Data Use Codes,"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials, and relates to the purposes for which datasets and/or material might be removed, stored or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes ","IRB, HMB, PUB, US, NPOA, COL, NCU, NPUNCU, RS, TS, NRES, NPU, DUM, POA, MOR, GSO, RTN, CC, NMDS, IS, GS, DS, GRU, PS",,False,,,,Data Use Ontology,list like,"If a research institution is using certain data for health and medicine-based studies, then their DSP Data Use Codes could be ""HMB""."
DSP IRB Form,The Synapse Id for the executed IRB protocol or exemption document that was uploaded to Synapse. Required if human-derived data was generated for this study and will be uploaded as part of this dataset,,,False,,,,,regex match syn\d+,"DSP IRB Form V2.0, 2020"
-DSP Dataset Description,A text description of the files contained in this dataset.,,,False,,,,,str,"The DSP (Digital Signal Processing) Dataset is a collection of preprocessed data from audio signals. It includes various features extracted from these signals such as frequency components, amplitude modulation, spectral content, etc. The data can be used for training machine learning models in applications like speech recognition, music classification, sound source localization, and other audio processing tasks."
+DSP Dataset Description,A text description of the files contained in this dataset.,,,False,,,,,str,"A quick description of your data sharing plan."
DSP Dataset Destination,An identifier representing the repository in which this dataset is intended to be held for long term preservation.,,,False,,,,,str,"""/home/user/datasets/dsp_output"""
diff --git a/modules/sharingPlans/template.csv b/modules/sharingPlans/template.csv
index b9fdbdde..01497d81 100644
--- a/modules/sharingPlans/template.csv
+++ b/modules/sharingPlans/template.csv
@@ -1,16 +1,14 @@
Attribute,Description,Required,Validation Rules,Examples
-DataDSP,Dataset sharing plan information. Used to indicate planned usage of MC2 Center supported Synapse projects.,False,_None_,100Hz
-DSP Dataset Name,Name of the dataset,True,str,DSP_Dataset_Sales_Analysis_2020
-DSP Dataset Alias,"Alias of the dataset. For Synapse storage, the Synapse id associated with the dataset should be used. Must be unique.",False,unique,"""Sales_Data_2020"""
-[DSP Dataset Assay](../valid_values/sharingPlans.md#attribute-dsp-dataset-assay),"The type of data contained in this group of files. Multiple values permitted, comma separated.",True,list like,"In the DSP (Data Submission Portal) dataset, the Assay attribute for my example would be 'Flow Cytometry'. This assay allows for detailed multiparametric analysis of thousands of individual cells in a fast and efficient manner."
-[DSP Dataset Species](../valid_values/sharingPlans.md#attribute-dsp-dataset-species),"The species the data was collected on. Multiple values permitted, comma separated.",True,list like,DSP Dataset Species: Asian Elephant
-[DSP Dataset Tumor Type](../valid_values/sharingPlans.md#attribute-dsp-dataset-tumor-type),"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.",False,list like,"Attribute: DSP Dataset Tumor Type
-Example: Lung Carcinoma"
+DataDSP,Dataset sharing plan information. Used to indicate planned usage of MC2 Center supported Synapse projects.,False,_None_,
+DSP Dataset Name,Name of the dataset,True,str,DSP_Dataset_Lung_Research_2021
+DSP Dataset Alias,"Alias of the dataset. For Synapse storage, the Synapse id associated with the dataset should be used. Must be unique.",False,unique,Syn123456
+[DSP Dataset Assay](../valid_values/sharingPlans.md#attribute-dsp-dataset-assay),"The type of data contained in this group of files. Multiple values permitted, comma separated.",True,list like,3D Bioprinting
+[DSP Dataset Species](../valid_values/sharingPlans.md#attribute-dsp-dataset-species),"The species the data was collected on. Multiple values permitted, comma separated.",True,list like,Asian Elephant
+[DSP Dataset Tumor Type](../valid_values/sharingPlans.md#attribute-dsp-dataset-tumor-type),"The tumor type(s), if applicable, of the data collected on. Multiple values permitted, comma separated.",False,list like,Lung Carcinoma
[DSP Dataset Tissue](../valid_values/sharingPlans.md#attribute-dsp-dataset-tissue),"Tissue type(s) associated with the dataset. Multiple values permitted, comma separated.",False,list like,Brain
-[DSP Dataset File Formats](../valid_values/sharingPlans.md#attribute-dsp-dataset-file-formats),"A list of file formats associated with the dataset. Multiple values permitted, comma separated.",False,list like,"Attribute: DSP Dataset File Formats
-Example: CSV"
+[DSP Dataset File Formats](../valid_values/sharingPlans.md#attribute-dsp-dataset-file-formats),"A list of file formats associated with the dataset. Multiple values permitted, comma separated.",False,list like,CSV
DataDSP_id,A unique primary key that enables record updates using schematic.,True,unique,DataDSP_56789
-[DSP Dataset Level](../valid_values/sharingPlans.md#attribute-dsp-dataset-level),The level of processing associated with the dataset.,False,list like,DSP Dataset Level: Level 3
+[DSP Dataset Level](../valid_values/sharingPlans.md#attribute-dsp-dataset-level),The level of processing associated with the dataset.,False,list like,Level 3
DSP Number of Files,The number of files that will be uploaded as part of this dataset.,False,num,25
DSP Number of Samples,The number of biospecimens associated with the files included in the dataset,False,num,50000
DSP Number of Participants,The number of individuals or model organisms from which samples were collected to generate the dataset.,False,num,12
@@ -21,5 +19,5 @@ DSP Planned Release Date,The projected date that marks the end of any requested
DSP Dataset Url,The url of where the dataset is or will be stored.,False,url,https://www.example.com/dataset/dsp1234
[DSP Data Use Codes](../valid_values/sharingPlans.md#attribute-dsp-data-use-codes),"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials, and relates to the purposes for which datasets and/or material might be removed, stored or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes ",False,list like,"If a research institution is using certain data for health and medicine-based studies, then their DSP Data Use Codes could be ""HMB""."
DSP IRB Form,The Synapse Id for the executed IRB protocol or exemption document that was uploaded to Synapse. Required if human-derived data was generated for this study and will be uploaded as part of this dataset,False,regex match syn\\d+,"DSP IRB Form V2.0, 2020"
-DSP Dataset Description,A text description of the files contained in this dataset.,False,str,"The DSP (Digital Signal Processing) Dataset is a collection of preprocessed data from audio signals. It includes various features extracted from these signals such as frequency components, amplitude modulation, spectral content, etc. The data can be used for training machine learning models in applications like speech recognition, music classification, sound source localization, and other audio processing tasks."
+DSP Dataset Description,A text description of the files contained in this dataset.,False,str,A quick description of your data sharing plan.
DSP Dataset Destination,An identifier representing the repository in which this dataset is intended to be held for long term preservation.,False,str,"""/home/user/datasets/dsp_output"""
diff --git a/modules/study/annotationProperty.csv b/modules/study/annotationProperty.csv
index 52d31dfb..01fa211a 100644
--- a/modules/study/annotationProperty.csv
+++ b/modules/study/annotationProperty.csv
@@ -1,14 +1,14 @@
Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
-Study,Studies associated with a grant,,"Component, Study_id, GrantView Key, ProjectView Key, Study dbGaP Accession Id, Study Name, Study Description, Study Investigator, PersonView Key, Study Number of Participants, Study De-identification Method Type, Study De-identification Method Description, Study De-identification Method Software, Study Reuse Statement, Study Data Use Codes, Study License",False,,,Grant View,,,"""Physics"""
-Study Name,Name of the study,,,True,,,,,str,"""Effects of Diet and Exercise on Obesity"""
-Study Description,"Description of the study, including the types of experimental assays, model systems, types of analysis, etc.",,,True,,,,,str,"""Analysis of Cardiovascular Response during Exercise"""
-Study Investigator,Investigator(s) associated with the project. Multiple names should be provided as a comma-separated list.,,,True,,,,,list like,"Dr. John Smith, PhD in Neuroscience, University of California"
+Study,Studies associated with a grant,,"Component, Study_id, GrantView Key, ProjectView Key, Study dbGaP Accession Id, Study Name, Study Description, Study Investigator, PersonView Key, Study Number of Participants, Study De-identification Method Type, Study De-identification Method Description, Study De-identification Method Software, Study Reuse Statement, Study Data Use Codes, Study License",False,,,Grant View,,,"""ProjectView_45678"""
+Study Name,Name of the study,,,True,,,,,str,"""Effects of Diet and Exercise on Cancer"""
+Study Description,"Description of the study, including the types of experimental assays, model systems, types of analysis, etc.",,,True,,,,,str,"""Analysis of Cancerous Cell Response during Exercise"""
+Study Investigator,Investigator(s) associated with the project. Multiple names should be provided as a comma-separated list.,,,True,,,,,list like,"Dr. Jane Smith"
Study Reuse Statement,"The funder-, contributor-, patient-, etc., derived content that includes terms, conditions, or statements associated with accessing and reusing the resource(s).",,,False,,,,,str,"""Data from this study can be used for future research purposes under the conditions that all information is properly cited and referenced."""
Study_id,A unique primary key that enables record updates using schematic.,,,True,,,,,unique,STUDY_2021_01Biology
Study Number of Participants,The number of participant instances associated with systematic investigation into a subject. ,,,True,,,,CDS/collection,int,5000
Study De-identification Method Type,General description of the de-identification method,"Manual , Semiautomatic , Automatic , Not applicable",,True,,,,CDS/collection,,Manual
-Study De-identification Method Description,Description of the process of removing potentially identifying data or data elements to render data into a form that does not identify individuals and where identification is not likely to take place.,,,False,,,,CDS/collection,str,"The study de-identification method description might be something like: ""All personal identifiable information such as names, addresses, and identification numbers were removed from the data. The dates were also shifted to a random point in the future to preserve the temporal relationships but without revealing the actual dates. The datasets were further reviewed and verified by a privacy officer to ensure all participants' identity is completely unidentifiable."""
+Study De-identification Method Description,Description of the process of removing potentially identifying data or data elements to render data into a form that does not identify individuals and where identification is not likely to take place.,,,False,,,,CDS/collection,str,"All personal identifiable information such as names, addresses, and identification numbers were removed from the data. The dates were also shifted to a random point in the future to preserve the temporal relationships but without revealing the actual dates. The datasets were further reviewed and verified by a privacy officer to ensure all participants' identity is completely unidentifiable."
Study De-identification Method Software,Software that was used to de-identify the images (if used),,,False,,,,CDS/collection,str,"""Safe Harbor Method Software"""
Study dbGaP Accession Id,A stable unique alphanumeric identifier assigned to a study and any objects by the database of Genotypes and Phenotypes (dbGaP). Required for controlled access data being submitted to CDS/CRDC.,,,False,,,,CDS/collection,str,phs000424.v7.p2
Study License,Official or legal permission to do or own a specified thing. Studies with data that will be submitted to CDS are required to provide a license.,"CC BY 3.0, CC BY 4.0, CC BY-NC 4.0, CC BY-NC 3.0",,False,,,,CDS/collection,,CC BY-NC 4.0
-Study Data Use Codes,"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials and relates to the purposes for which datasets and/or material might be removed, stored, or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes","IRB, HMB, PUB, US, NPOA, COL, NCU, NPUNCU, RS, TS, NRES, NPU, DUM, POA, MOR, GSO, RTN, CC, NMDS, IS, GS, DS, GRU, PS",,False,,,,Data Use Ontology, list like,Study Data Use Codes: NCU
+Study Data Use Codes,"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials and relates to the purposes for which datasets and/or material might be removed, stored, or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes","IRB, HMB, PUB, US, NPOA, COL, NCU, NPUNCU, RS, TS, NRES, NPU, DUM, POA, MOR, GSO, RTN, CC, NMDS, IS, GS, DS, GRU, PS",,False,,,,Data Use Ontology, list like,NCU
diff --git a/modules/tool/annotationProperty.csv b/modules/tool/annotationProperty.csv
index c02f0dd2..7dde7bfe 100644
--- a/modules/tool/annotationProperty.csv
+++ b/modules/tool/annotationProperty.csv
@@ -1,45 +1,41 @@
Attribute,Description,Valid Values,DependsOn,Required,Properties,Parent,DependsOn Component,Source,Validation Rules,Examples
-Tool Accessibility,Whether there are non-monetary restrictions on accessing an online service.,"Open Access, Open Access (With Restrictions), Restricted Access",,False,,,,biotoolsschema,,"Tool Accessibility: Open Access (With Restrictions) - The company's data analytics tool is open to all employees, but access to certain sensitive information within the tool is restricted to upper management."
+Tool Accessibility,Whether there are non-monetary restrictions on accessing an online service.,"Open Access, Open Access (With Restrictions), Restricted Access",,False,,,,biotoolsschema,,Nan
Tool Cmd,"Relevant command, command-line fragment, or option for executing this function/running the tool in this mode.",,,False,,,,biotoolsschema,,"""export GIT_TRACE=1"""
-Tool Compute Requirements,"Component dependency requirements for application. This includes runtime environments and shared libraries that are not included in the application distribution package, but required to run the application (examples: DirectX, Java or .NET runtime).",,,False,,,,schema.org,"list like, url","CPU: Intel i7, RAM: 16GB, Hard Disk Space: 500GB, Operating System: Windows 10, GPU: Nvidia GTX 1060 6GB, Internet Connection: Broadband."
+Tool Compute Requirements,"Component dependency requirements for application. This includes runtime environments and shared libraries that are not included in the application distribution package, but required to run the application (examples: DirectX, Java or .NET runtime).",,,False,,,,schema.org,"list like, url","Python, pip, pandas, matplotlib"
Tool Cost,Monetary cost of acquiring the software.,"Commercial, Free of Charge, Free of Charge (With Restrictions)",,False,,,,biotoolsschema,,Commercial
Tool Date Last Modified,"The date indicating when the tool's entry was most recently modified or updated, providing a timestamp of the latest changes made to the tool's information.",,,False,,,,schema.org,date,11/04/2021 15:30:45
-Tool Description,Textual description of the tool.,,,True,,,,biotoolsschema,,"This powerful electric drill comes with a 10 amp motor, providing high performance in heavy-duty applications. This tool possesses a 1/2-inch all-metal, single-sleeve, ratcheting keyless chuck with automatic spindle lock that provides greater bit retention and tool-free convenience. Additionally, it is designed with a soft grip handle and two-finger trigger for increased comfort and greater control. This drill also features a 360-degree locking side handle with soft grip for increased maneuverability and control."
+Tool Description,Textual description of the tool.,,,True,,,,biotoolsschema,,"This is a Python tool that ..."
Tool Documentation Note,Comment about the documentation.,,,False,,,,biotoolsschema,,"""This software comes with comprehensive user manuals and FAQs to assist in navigation and troubleshooting. Regular updates to the documentation are provided based on software upgrades."""
Tool Documentation Type,"Type of documentation that is linked to. Multiple values permitted, comma separated.","API Documentation, Citation Instructions, Code of Conduct, Command-Line Options, Contributions Policy, FAQ, General, Governance, Installation Instructions, Other, Quick Start Guide, Release Notes, Terms of Use, Training Material, User Manual",,False,,,,biotoolsschema,list like,API Documentation
-Tool Documentation Url,Link to documentation on the web for the tool.,,,False,,,,biotoolsschema,,"""https://docs.google.com/spreadsheets/"""
+Tool Documentation Url,Link to documentation on the web for the tool.,,,False,,,,biotoolsschema,,"""https://docs.example.com/"""
Tool Download Note,Comment about the download.,,,False,,,,biotoolsschema,,"""Before downloading this tool, ensure your device has adequate storage space and meets the minimum system requirements. Also, our tools may require specific software or apps to function properly. Please refer to our website for detailed information about the required software."""
Tool Download Type,"The type of data, information, or system that is obtained when the link is resolved.","API Specification, Binaries, Biological Data, Command-Line Specification, Container File, Downloads Page, Icon, Other, Screenshot, Software Package, Source Code, Test Data, Test Script, Tool Wrapper (CWL), Tool Wrapper (Galaxy), Tool Wrapper (Taverna), Tool wrapper (Other), VM Image",,False,,,,biotoolsschema,,API Specification
Tool Download Url,Link to download (or repo providing a download) for the software.,,,False,,,,biotoolsschema,,https://example.com/tool-download/version2.0
Tool Download Version,Version information (typically a version number) of the software applicable to this download.,,,False,,,,biotoolsschema,,1.0.3
-Tool Entity Name,Name of the entities that may be credited,,,False,,,,,list like,Hammer
-Tool Entity Role,"Role performed by entity that is credited, e.g. βDeveloperβ","Developer, Maintainer, Provider, Documentor, Contributor, Support, Primary Contact",,True,,,,biotoolsschema,list like,"For an open-source software project, different individuals or teams could take on various roles: the 'Developer' builds and enhances the software, the 'Maintainer' ensures it is debugged and up to date, the 'Provider' supplies the software to users, the 'Documentor' creates guides and manuals, 'Contributors' improve the software, the 'Support' team assists with technical issues, and the 'Primary Contact' handles overall inquiries."
+Tool Entity Name,Name of the entities that may be credited,,,False,,,,,list like,"Python, pip"
+Tool Entity Role,"Role performed by entity that is credited, e.g. βDeveloperβ","Developer, Maintainer, Provider, Documentor, Contributor, Support, Primary Contact",,True,,,,biotoolsschema,list like,"Developer, Maintainer, Provider, Documentor, Contributor"
Tool Entity Type,"Types of entities that may be credited, e.g. βPersonβ.","Person, Project, Division, Institute, Research Consortium, Funding Agency",,True,,,,biotoolsschema,list like,Person
-Tool Function Note,"Concise comment about this function, if not apparent from the software description and EDAM annotations.",,,False,,,,biotoolsschema,,"""The tool is primarily used for cutting hard materials, but can also be utilized for shaping, smoothing, and finishing tasks depending on the type of blade or attachment used."""
+Tool Function Note,"Concise comment about this function, if not apparent from the software description and EDAM annotations.",,,False,,,,biotoolsschema,,"The tool is used to programmatically ..."
Tool Grant Number,"Grant number associated with the tool's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,CA209975
-Tool Homepage,"Homepage of the software, or some URL that best serves this purpose.",,,True,,,,biotoolsschema,url,https://www.microsoft.com/en-us/windows/
-Tool Input Data,"Type of primary input data. Multiple values permitted, comma separated.","Accession, Alignment, Biological Model ID, Biological Model Name, Cell Line Name, Cell Migration Track Image, Cell Type Identifier, Cell Type Name, Cell Type Ontology ID, Chromosome Name, Chromosome Report, Clustered Expression Profiles, Codon Number, Comparison Matrix, Compound Identifier, Compound Name, Concentration, Count Matrix, DNA Sequence, Data Index, Data Reference, Database Search Results, Drug Identifier, Drug Name, Drug Report, Electronic Health Record, Enzyme Kinetics Data, Experimental Measurement, Expression Data, GO-Term Enrichment Data, Gene Expression Matrix, Gene Expression Profile, Gene ID, Gene ID (NCBI), Gene Identifier, Gene Name, Gene Report, Gene Symbol, Gene Tree, Genetic Map, Genotype/Phenotype Report, Heat Map, Hidden Markov Model, Hierarchy, Histogram, Identifier, Image, Image Metadata, Kinetic Model, MRI Image, Map, Map Data, Mass Spectrometry Data, Mass Spectrum, Mathematical Model, Matrix, Molecular Property, Molecular Simulation Data, Molecule Identifier, Molecule Name, Morphology Parameter, Mutation ID, Not Applicable, Nucleic Acid Identifier, Nucleic Acid Report, Nucleic Acid Sequence, Ontology, Ontology Concept Data, Ontology Data, Ontology Identifier, Ontology Mapping, Ontology Name, Ontology Term, Organism Identifier, Organism Name, Over-Represesntation Data, P-Value, Pair Sequence Alignment, Pathway Or Network, Pathway Or Network Report, Pathway Overrepresentation Data, Peptide Identification, Peptide Property, Phenotype Name, Phylogenetic Data, Phylogenetic Tree, Plain Text, Plot, Position Weight Matrix, Position-Specific Scoring Matrix, Protein Contact Map, Protein Identifier, Protein Interaction Data, Protein Name, Protein Property, Protein Report, Protein Sequence, Protein Structure Report, Quality Control Report, RNA Sequence, Raw Image, Reaction Data, RefSeq Accession, Report, Resource Metadata, Sample Annotation, Sample ID, Score, Sequence, Sequence Alignment, Sequence Attribute, Sequence Cluster, Sequence Composition Plot, Sequence Composition Report, Sequence Coordinates, Sequence Features, Sequence Image, Sequence Motif, Sequence Position, Sequence Property, Sequence Range, Sequence Record, Sequence Report, Sequence Search Results, Sequence Set, Sequence Signature Data, Sequence Similarity, Sequence Similarity Score, Sequence Variations, Simulation, Small Molecule Report, Spectrum, Statistical Estimate Score, Strain Identifier, Strain Name, Structure, Structure Report, Taxonomy, Text Data, Text Mining Report, Topology Data, Training Material, Trajectory Data, Transcription Factor Identifier, Transcription Factor Name, Vmax, dbSNP ID",,True,,,,biotoolsschema,list like,"Attribute: Tool Input Data
-Example: DNA Sequence"
-Tool Input Format,"Allowed format(s) of the input data. Multiple values permitted, comma separated.","Alignment Format, Alignment Format (Pair Only), Alignment Format (Text), Annotated Text Format, Antimony, BAM, BCF, BED, BLAST Results, BNGL, Binary Format, Biological Model Format, Biological Pathway Or Network Format, CSV, Chemical Data Format, Cytoband Format, Cytoscape Input File Format, DCC, DCD, DSV, Database Hits (Sequence) Format , Docker Image Format, Document Format, Dot-Bracket Format, FASTA, FASTQ, FASTQ-Illumina, FCS, GCT/Res Format, GFF, GFF3, GIF, GML, GTF, Gene Annotation Format, Gene Cluster Format, Gene Expression Report Format, Genotype And Phenotype Annotation Format, Graph Format, H5AD, HDF, HDF5, HTML, Hidden Markov Model Format, Image Format, Individual Genetic Data Format, JPG, JSON, LSM, MAF, MAGE-ML, MAGE-TAB, MAT, MATLAB Script, MSF, Map Format, Mass Spectrometry Data Format, Matrix Format, NIFTI Format, Nexus Format, Not Applicable, NumPy Format, OME-TIFF, Ontology Format, PDF, PNG, PS, PSF, Phylip Format, Phylip Format Variant, Phylogenetic Tree Format, Phylogenetic Tree Format (Text), Protein Interaction Format, Python Script, R File Format, R Script, RDS, RNA Annotation Format, RNA Secondary Structure Format, RPKM, Raw Sequence Format, SAM, SBML, SQLite Format, SVG, Scores Format, Sequence Annotation Track Format, Sequence Cluster Format, Sequence Cluster Format (Protein), Sequence Feature Annotation Format, Sequence Feature Table Format, Sequence Feature Table Format (Text), Sequence Profile Format, Sequence Range Format, Sequence Record Format, Sequence Trace Format, Sequence Variation Annotation Format, TIFF, TSV, TXT, Tertiary Structure Format, Textual Format, Topology Format, Trajectory Format, VCF, Workflow Format, XML, YAML, bedgraph, bigWig, cel, imzML Metadata File, mzML, nii, pkl, sif, xls, xlsx, PDB, HED, MRC, Unspecified",,True,,,,biotoolsschema,list like,"Attribute: Tool Input Format
-Example: CSV"
+Tool Homepage,"Homepage of the software, or some URL that best serves this purpose.",,,True,,,,biotoolsschema,url,https://www.example.com/
+Tool Input Data,"Type of primary input data. Multiple values permitted, comma separated.","Accession, Alignment, Biological Model ID, Biological Model Name, Cell Line Name, Cell Migration Track Image, Cell Type Identifier, Cell Type Name, Cell Type Ontology ID, Chromosome Name, Chromosome Report, Clustered Expression Profiles, Codon Number, Comparison Matrix, Compound Identifier, Compound Name, Concentration, Count Matrix, DNA Sequence, Data Index, Data Reference, Database Search Results, Drug Identifier, Drug Name, Drug Report, Electronic Health Record, Enzyme Kinetics Data, Experimental Measurement, Expression Data, GO-Term Enrichment Data, Gene Expression Matrix, Gene Expression Profile, Gene ID, Gene ID (NCBI), Gene Identifier, Gene Name, Gene Report, Gene Symbol, Gene Tree, Genetic Map, Genotype/Phenotype Report, Heat Map, Hidden Markov Model, Hierarchy, Histogram, Identifier, Image, Image Metadata, Kinetic Model, MRI Image, Map, Map Data, Mass Spectrometry Data, Mass Spectrum, Mathematical Model, Matrix, Molecular Property, Molecular Simulation Data, Molecule Identifier, Molecule Name, Morphology Parameter, Mutation ID, Not Applicable, Nucleic Acid Identifier, Nucleic Acid Report, Nucleic Acid Sequence, Ontology, Ontology Concept Data, Ontology Data, Ontology Identifier, Ontology Mapping, Ontology Name, Ontology Term, Organism Identifier, Organism Name, Over-Represesntation Data, P-Value, Pair Sequence Alignment, Pathway Or Network, Pathway Or Network Report, Pathway Overrepresentation Data, Peptide Identification, Peptide Property, Phenotype Name, Phylogenetic Data, Phylogenetic Tree, Plain Text, Plot, Position Weight Matrix, Position-Specific Scoring Matrix, Protein Contact Map, Protein Identifier, Protein Interaction Data, Protein Name, Protein Property, Protein Report, Protein Sequence, Protein Structure Report, Quality Control Report, RNA Sequence, Raw Image, Reaction Data, RefSeq Accession, Report, Resource Metadata, Sample Annotation, Sample ID, Score, Sequence, Sequence Alignment, Sequence Attribute, Sequence Cluster, Sequence Composition Plot, Sequence Composition Report, Sequence Coordinates, Sequence Features, Sequence Image, Sequence Motif, Sequence Position, Sequence Property, Sequence Range, Sequence Record, Sequence Report, Sequence Search Results, Sequence Set, Sequence Signature Data, Sequence Similarity, Sequence Similarity Score, Sequence Variations, Simulation, Small Molecule Report, Spectrum, Statistical Estimate Score, Strain Identifier, Strain Name, Structure, Structure Report, Taxonomy, Text Data, Text Mining Report, Topology Data, Training Material, Trajectory Data, Transcription Factor Identifier, Transcription Factor Name, Vmax, dbSNP ID",,True,,,,biotoolsschema,list like,"DNA Sequence"
+Tool Input Format,"Allowed format(s) of the input data. Multiple values permitted, comma separated.","Alignment Format, Alignment Format (Pair Only), Alignment Format (Text), Annotated Text Format, Antimony, BAM, BCF, BED, BLAST Results, BNGL, Binary Format, Biological Model Format, Biological Pathway Or Network Format, CSV, Chemical Data Format, Cytoband Format, Cytoscape Input File Format, DCC, DCD, DSV, Database Hits (Sequence) Format , Docker Image Format, Document Format, Dot-Bracket Format, FASTA, FASTQ, FASTQ-Illumina, FCS, GCT/Res Format, GFF, GFF3, GIF, GML, GTF, Gene Annotation Format, Gene Cluster Format, Gene Expression Report Format, Genotype And Phenotype Annotation Format, Graph Format, H5AD, HDF, HDF5, HTML, Hidden Markov Model Format, Image Format, Individual Genetic Data Format, JPG, JSON, LSM, MAF, MAGE-ML, MAGE-TAB, MAT, MATLAB Script, MSF, Map Format, Mass Spectrometry Data Format, Matrix Format, NIFTI Format, Nexus Format, Not Applicable, NumPy Format, OME-TIFF, Ontology Format, PDF, PNG, PS, PSF, Phylip Format, Phylip Format Variant, Phylogenetic Tree Format, Phylogenetic Tree Format (Text), Protein Interaction Format, Python Script, R File Format, R Script, RDS, RNA Annotation Format, RNA Secondary Structure Format, RPKM, Raw Sequence Format, SAM, SBML, SQLite Format, SVG, Scores Format, Sequence Annotation Track Format, Sequence Cluster Format, Sequence Cluster Format (Protein), Sequence Feature Annotation Format, Sequence Feature Table Format, Sequence Feature Table Format (Text), Sequence Profile Format, Sequence Range Format, Sequence Record Format, Sequence Trace Format, Sequence Variation Annotation Format, TIFF, TSV, TXT, Tertiary Structure Format, Textual Format, Topology Format, Trajectory Format, VCF, Workflow Format, XML, YAML, bedgraph, bigWig, cel, imzML Metadata File, mzML, nii, pkl, sif, xls, xlsx, PDB, HED, MRC, Unspecified",,True,,,,biotoolsschema,list like,CSV
Tool Language,"Name of programming language the software source code was written in. Multiple values permitted, comma separated.","AWK, ActionScript, Ada, AppleScript, Assembly Language, Bash, C, C#, C++, COBOL, CSS, CWL, ColdFusion, D, Delphi, Dockerfile, Dylan, Eiffel, Elm, Forth, Fortran, Go, Groovy, HTML, Haskell, Icarus, JSP, Java, JavaScript, Julia, LabVIEW, Lisp, Lua, MATLAB, MLXTRAN, Maple, Mathematica, NMTRAN, Netlogo, Nextflow, Ocaml, OpenEdge ABL, Other, PHP, Pascal, Perl, PostScript, PowerShell, Prolog, PyMOL, Python, R, REXX, Racket, Ruby, SAS, SQL, Scala, Scheme, Shell, TeX, Turing, VHDL, Verilog, Visual Basic, WDL, XAML",,False,,,,biotoolsschema,list like,Tool Language: Python
-Tool License,"Software or data usage license. Multiple values permitted, comma separated.","AAL, ADSL, AFL-1.1, AFL-1.2, AFL-2.0, AFL-2.1, AFL-3.0, AGPL-1.0, AGPL-3.0, AMDPLPA, AML, AMPAS, ANTLR-PD, APAFML, APL-1.0, APSL-1.0, APSL-1.1, APSL-1.2, APSL-2.0, Abstyles, Adobe-2006, Adobe-Glyph, Afmparse, Aladdin, Apache-1.0, Apache-1.1, Apache-2.0, Artistic-1.0, Artistic-1.0-Perl, Artistic-1.0-cl8, Artistic-2.0, BSD-2-Clause, BSD-2-Clause-FreeBSD, BSD-2-Clause-NetBSD, BSD-3-Clause, BSD-3-Clause-Attribution, BSD-3-Clause-Clear, BSD-3-Clause-LBNL, BSD-3-Clause-No-Nuclear-License, BSD-3-Clause-No-Nuclear-License-2014, BSD-3-Clause-No-Nuclear-Warranty, BSD-4-Clause, BSD-4-Clause-UC, BSD-Protection, BSD-Source-Code, BSD-style, BSL-1.0, Bahyph, Barr, Beerware, BitTorrent-1.0, BitTorrent-1.1, Borceux, CATOSL-1.1, CC-BY-1.0, CC-BY-2.0, CC-BY-2.5, CC-BY-3.0, CC-BY-4.0, CC-BY-NC-1.0, CC-BY-NC-2.0, CC-BY-NC-2.5, CC-BY-NC-3.0, CC-BY-NC-4.0, CC-BY-NC-ND-1.0, CC-BY-NC-ND-2.0, CC-BY-NC-ND-2.5, CC-BY-NC-ND-3.0, CC-BY-NC-ND-4.0, CC-BY-NC-SA-1.0, CC-BY-NC-SA-2.0, CC-BY-NC-SA-2.5, CC-BY-NC-SA-3.0, CC-BY-NC-SA-4.0, CC-BY-ND-1.0, CC-BY-ND-2.0, CC-BY-ND-2.5, CC-BY-ND-3.0, CC-BY-ND-4.0, CC-BY-SA-1.0, CC-BY-SA-2.0, CC-BY-SA-2.5, CC-BY-SA-3.0, CC-BY-SA-4.0, CC0-1.0, CDDL-1.0, CDDL-1.1, CECILL-1.0, CECILL-1.1, CECILL-2.0, CECILL-2.1, CECILL-B, CECILL-C, CNRI-Jython, CNRI-Python, CNRI-Python-GPL-Compatible, CPAL-1.0, CPL-1.0, CPOL-1.02, CUA-OPL-1.0, Caldera, ClArtistic, Condor-1.1, Crossword, CrystalStacker, Cube, D-FSL-1.0, DOC, DSDP, Dotseqn, ECL-1.0, ECL-2.0, EFL-1.0, EFL-2.0, EPL-1.0, EUDatagrid, EUPL-1.0, EUPL-1.1, Entessa, ErlPL-1.1, Eurosym, FSFAP, FSFUL, FSFULLR, FTL, Fair, Frameworx-1.0, FreeImage, Freeware, GFDL-1.1, GFDL-1.2, GFDL-1.3, GL2PS, GPL-1.0, GPL-2.0, GPL-3.0, Giftware, Glide, Glulxe, HPND, HaskellReport, IBM-pibs, ICU, IJG, IPA, IPL-1.0, ISC, ImageMagick, Imlib2, Info-ZIP, Intel, Intel-ACPI, Interbase-1.0, JSON, JasPer-2.0, LAL-1.2, LAL-1.3, LGPL-2.0, LGPL-2.1, LGPL-3.0, LGPLLR, LPL-1.0, LPL-1.02, LPPL-1.0, LPPL-1.1, LPPL-1.2, LPPL-1.3a, LPPL-1.3c, Latex2e, Leptonica, LiLiQ-P-1.1, LiLiQ-R-1.1, LiLiQ-Rplus-1.1, Libpng, MIT, MIT-CMU, MIT-advertising, MIT-enna, MIT-feh, MITNFA, MPL-1.0, MPL-1.1, MPL-2.0, MPL-2.0-no-copyleft-exception, MS-PL, MS-RL, MTLL, MakeIndex, MirOS, Motosoto, Multics, Mup, NASA-1.3, NBPL-1.0, NCSA, NGPL, NLOD-1.0, NLPL, NOSL, NPL-1.0, NPL-1.1, NPOSL-3.0, NRL, NTP, Naumen, NetCDF, Newsletr, Nokia, Not licensed, Noweb, Nunit, OCCT-PL, OCLC-2.0, ODbL-1.0, OFL-1.0, OFL-1.1, OGTSL, OLDAP-1.1, OLDAP-1.2, OLDAP-1.3, OLDAP-1.4, OLDAP-2.0, OLDAP-2.0.1, OLDAP-2.1, OLDAP-2.2, OLDAP-2.2.1, OLDAP-2.2.2, OLDAP-2.3, OLDAP-2.4, OLDAP-2.5, OLDAP-2.6, OLDAP-2.7, OLDAP-2.8, OML, OPL-1.0, OSET-PL-2.1, OSL-1.0, OSL-1.1, OSL-2.0, OSL-2.1, OSL-3.0, OpenSSL, Other, PDDL-1.0, PHP-3.0, PHP-3.01, Plexus, PostgreSQL, Proprietary, Python-2.0, QPL-1.0, Qhull, RHeCos-1.1, RPL-1.1, RPL-1.5, RPSL-1.0, RSA-MD, RSCPL, Rdisc, Ruby, SAX-PD, SCEA, SGI-B-1.0, SGI-B-1.1, SGI-B-2.0, SISSL, SISSL-1.2, SMLNJ, SMPPL, SNIA, SPL-1.0, SWL, Saxpath, Sendmail, SimPL-2.0, Sleepycat, Spencer-86, Spencer-94, Spencer-99, SugarCRM-1.1.3, TCL, TMate, TORQUE-1.1, TOSL, UPL-1.0, Unicode-TOU, Unlicense, VOSTROM, VSL-1.0, Vim, W3C, W3C-19980720, WTFPL, Watcom-1.0, Wsuipa, X11, XFree86-1.1, XSkat, Xerox, Xnet, YPL-1.0, YPL-1.1, ZPL-1.1, ZPL-2.0, ZPL-2.1, Zed, Zend-2.0, Zimbra-1.3, Zimbra-1.4, Zlib, bzip2-1.0.5, bzip2-1.0.6, curl, diffmark, dvipdfm, eGenix, gSOAP-1.3b, gnuplot, iMatix, libtiff, mpich2, psfrag, psutils, xinetd, xpp, zlib-acknowledgement",,False,,,,biotoolsschema,list like,Tool License: Apache-2.0
+Tool License,"Software or data usage license. Multiple values permitted, comma separated.","AAL, ADSL, AFL-1.1, AFL-1.2, AFL-2.0, AFL-2.1, AFL-3.0, AGPL-1.0, AGPL-3.0, AMDPLPA, AML, AMPAS, ANTLR-PD, APAFML, APL-1.0, APSL-1.0, APSL-1.1, APSL-1.2, APSL-2.0, Abstyles, Adobe-2006, Adobe-Glyph, Afmparse, Aladdin, Apache-1.0, Apache-1.1, Apache-2.0, Artistic-1.0, Artistic-1.0-Perl, Artistic-1.0-cl8, Artistic-2.0, BSD-2-Clause, BSD-2-Clause-FreeBSD, BSD-2-Clause-NetBSD, BSD-3-Clause, BSD-3-Clause-Attribution, BSD-3-Clause-Clear, BSD-3-Clause-LBNL, BSD-3-Clause-No-Nuclear-License, BSD-3-Clause-No-Nuclear-License-2014, BSD-3-Clause-No-Nuclear-Warranty, BSD-4-Clause, BSD-4-Clause-UC, BSD-Protection, BSD-Source-Code, BSD-style, BSL-1.0, Bahyph, Barr, Beerware, BitTorrent-1.0, BitTorrent-1.1, Borceux, CATOSL-1.1, CC-BY-1.0, CC-BY-2.0, CC-BY-2.5, CC-BY-3.0, CC-BY-4.0, CC-BY-NC-1.0, CC-BY-NC-2.0, CC-BY-NC-2.5, CC-BY-NC-3.0, CC-BY-NC-4.0, CC-BY-NC-ND-1.0, CC-BY-NC-ND-2.0, CC-BY-NC-ND-2.5, CC-BY-NC-ND-3.0, CC-BY-NC-ND-4.0, CC-BY-NC-SA-1.0, CC-BY-NC-SA-2.0, CC-BY-NC-SA-2.5, CC-BY-NC-SA-3.0, CC-BY-NC-SA-4.0, CC-BY-ND-1.0, CC-BY-ND-2.0, CC-BY-ND-2.5, CC-BY-ND-3.0, CC-BY-ND-4.0, CC-BY-SA-1.0, CC-BY-SA-2.0, CC-BY-SA-2.5, CC-BY-SA-3.0, CC-BY-SA-4.0, CC0-1.0, CDDL-1.0, CDDL-1.1, CECILL-1.0, CECILL-1.1, CECILL-2.0, CECILL-2.1, CECILL-B, CECILL-C, CNRI-Jython, CNRI-Python, CNRI-Python-GPL-Compatible, CPAL-1.0, CPL-1.0, CPOL-1.02, CUA-OPL-1.0, Caldera, ClArtistic, Condor-1.1, Crossword, CrystalStacker, Cube, D-FSL-1.0, DOC, DSDP, Dotseqn, ECL-1.0, ECL-2.0, EFL-1.0, EFL-2.0, EPL-1.0, EUDatagrid, EUPL-1.0, EUPL-1.1, Entessa, ErlPL-1.1, Eurosym, FSFAP, FSFUL, FSFULLR, FTL, Fair, Frameworx-1.0, FreeImage, Freeware, GFDL-1.1, GFDL-1.2, GFDL-1.3, GL2PS, GPL-1.0, GPL-2.0, GPL-3.0, Giftware, Glide, Glulxe, HPND, HaskellReport, IBM-pibs, ICU, IJG, IPA, IPL-1.0, ISC, ImageMagick, Imlib2, Info-ZIP, Intel, Intel-ACPI, Interbase-1.0, JSON, JasPer-2.0, LAL-1.2, LAL-1.3, LGPL-2.0, LGPL-2.1, LGPL-3.0, LGPLLR, LPL-1.0, LPL-1.02, LPPL-1.0, LPPL-1.1, LPPL-1.2, LPPL-1.3a, LPPL-1.3c, Latex2e, Leptonica, LiLiQ-P-1.1, LiLiQ-R-1.1, LiLiQ-Rplus-1.1, Libpng, MIT, MIT-CMU, MIT-advertising, MIT-enna, MIT-feh, MITNFA, MPL-1.0, MPL-1.1, MPL-2.0, MPL-2.0-no-copyleft-exception, MS-PL, MS-RL, MTLL, MakeIndex, MirOS, Motosoto, Multics, Mup, NASA-1.3, NBPL-1.0, NCSA, NGPL, NLOD-1.0, NLPL, NOSL, NPL-1.0, NPL-1.1, NPOSL-3.0, NRL, NTP, Naumen, NetCDF, Newsletr, Nokia, Not licensed, Noweb, Nunit, OCCT-PL, OCLC-2.0, ODbL-1.0, OFL-1.0, OFL-1.1, OGTSL, OLDAP-1.1, OLDAP-1.2, OLDAP-1.3, OLDAP-1.4, OLDAP-2.0, OLDAP-2.0.1, OLDAP-2.1, OLDAP-2.2, OLDAP-2.2.1, OLDAP-2.2.2, OLDAP-2.3, OLDAP-2.4, OLDAP-2.5, OLDAP-2.6, OLDAP-2.7, OLDAP-2.8, OML, OPL-1.0, OSET-PL-2.1, OSL-1.0, OSL-1.1, OSL-2.0, OSL-2.1, OSL-3.0, OpenSSL, Other, PDDL-1.0, PHP-3.0, PHP-3.01, Plexus, PostgreSQL, Proprietary, Python-2.0, QPL-1.0, Qhull, RHeCos-1.1, RPL-1.1, RPL-1.5, RPSL-1.0, RSA-MD, RSCPL, Rdisc, Ruby, SAX-PD, SCEA, SGI-B-1.0, SGI-B-1.1, SGI-B-2.0, SISSL, SISSL-1.2, SMLNJ, SMPPL, SNIA, SPL-1.0, SWL, Saxpath, Sendmail, SimPL-2.0, Sleepycat, Spencer-86, Spencer-94, Spencer-99, SugarCRM-1.1.3, TCL, TMate, TORQUE-1.1, TOSL, UPL-1.0, Unicode-TOU, Unlicense, VOSTROM, VSL-1.0, Vim, W3C, W3C-19980720, WTFPL, Watcom-1.0, Wsuipa, X11, XFree86-1.1, XSkat, Xerox, Xnet, YPL-1.0, YPL-1.1, ZPL-1.1, ZPL-2.0, ZPL-2.1, Zed, Zend-2.0, Zimbra-1.3, Zimbra-1.4, Zlib, bzip2-1.0.5, bzip2-1.0.6, curl, diffmark, dvipdfm, eGenix, gSOAP-1.3b, gnuplot, iMatix, libtiff, mpich2, psfrag, psutils, xinetd, xpp, zlib-acknowledgement",,False,,,,biotoolsschema,list like,Apache-2.0
Tool Link Note,Comment about the link.,,,False,,,,biotoolsschema,,"""This tool cannot be accessed without a valid institutional login."""
-Tool Link Type,"The type of data, information or system that is obtained when the link is resolved. Multiple values permitted, comma separated.","Discussion Forum, Galaxy Service, Helpdesk, Issue Tracker, Mailing list, Mirror, Other, Repository, Service, Social Media, Software Catalogue, Technical Monitoring",,False,,,,biotoolsschema,list like,Tool Link Type: Social Media
+Tool Link Type,"The type of data, information or system that is obtained when the link is resolved. Multiple values permitted, comma separated.","Discussion Forum, Galaxy Service, Helpdesk, Issue Tracker, Mailing list, Mirror, Other, Repository, Service, Social Media, Software Catalogue, Technical Monitoring",,False,,,,biotoolsschema,list like,Social Media
Tool Link Url,A link of some relevance to the software (URL).,,,False,,,,biotoolsschema,,https://www.example.com/tool-info.html
Tool Name,Canonical tool name provided by the tool developer or service provider.,,,True,,,,biotoolsschema,unique,Adobe Photoshop
Tool Operating System,"The operating system supported by a downloadable software package. Multiple values permitted, comma separated.","Linux, Mac, Windows",,False,,,,biotoolsschema,list like,Linux
-Tool Operation,"The basic operation(s) performed by this software function. Multiple values permitted, comma separated.","Aggregation, Allele Frequency Distribution Analysis, Analysis, Annotation, Box-Whisker Plot Plotting, Calculation, Cell Migration Analysis, Cell Modelling, Cell Number Quantification, Cell Type Enrichment Analysis, Classification, Clustering, Clustering Profile Plotting, Comparison, Conversion, Copy Number Variation Detection, Correlation, DNA Barcoding, Data Handling, Data Retrieval, Database Search, De Novo Sequencing, Demultiplexing, Differential Gene Expression Profiling, Differential Protein Expression Profiling, Dimensionality Reduction, Editing, Enrichment Analysis, Expression Analysis, Expression Correlation Analysis, Expression Data Visualisation, Expression Profile Clustering, Expression Profile Comparison, Functional Clustering, Gene Expression Profiling, Gene Methylation Analysis, Gene Regulatory Network Analysis, Gene Regulatory Network Prediction, Gene-Set Enrichment Analysis, Generation, Genetic Mapping, Genetic Variation Analysis, Genome Analysis, Genome Annotation, Genome Visualisation, Genotyping, Heat Map Generation, Image Analysis, Imputation, Incident Curve Plotting, Information Retrieval, Linkage Analysis, Mapping, Metabolic Pathway Prediction, Methylation Analysis, Microscope Image Visualisation, Modelling and Simulation, Molecular Dynamics, Network Analysis, Network Visualisation, Nucleic Acid Feature Detection, Nucleic Acid Sequence Analysis, Nucleosome Position Prediction, Ontology Visualisation, Pathway Analysis, Pathway Modelling, Peak Calling, Phylogenetic Analysis, Prediction and Recognition, Principal Component Analysis, Protein Comparison, Protein Function Comparison, Protein Function Prediction, Protein Identification, Protein Interaction Network Analysis, Protein Quantification, Protein-Protein Interaction Analysis, Quantification, Query and Retrieval, RNA Secondary Structure Prediction, RNA-Seq Analysis, RNA-Seq Quantification, Regression Analysis, SNP Annotation, SNP Detection, Scatter Plot Plotting, Sequence Alignment Analysis, Sequence Alignment Comparison, Sequence Analysis, Sequence Annotation, Sequence Classification, Sequence Cluster Visualisation, Sequence Clustering, Sequence Comparison, Sequence Composition Calculation, Sequence Editing, Sequence File Editing, Sequence Read Processing, Sequencing Quality Control, Simulated Gene Expression Data Generation, Sorting, Spectral Analysis, Standardisation and Normalisation, Statistical Calculation, Statistical Inference, Statistical Modelling, Structural Variation Detection, Structure Analysis, Text Mining, Tissue Modelling, Validation, Variant Calling, Variant Classification, Variant Effect Prediction, Visualisation, scRNA-Seq Analysis, Agent-Based Cell Modelling, Not Applicable",,True,,,,biotoolsschema,list like,"Attribute: Tool Operation
-Example: DNA Barcoding"
+Tool Operation,"The basic operation(s) performed by this software function. Multiple values permitted, comma separated.","Aggregation, Allele Frequency Distribution Analysis, Analysis, Annotation, Box-Whisker Plot Plotting, Calculation, Cell Migration Analysis, Cell Modelling, Cell Number Quantification, Cell Type Enrichment Analysis, Classification, Clustering, Clustering Profile Plotting, Comparison, Conversion, Copy Number Variation Detection, Correlation, DNA Barcoding, Data Handling, Data Retrieval, Database Search, De Novo Sequencing, Demultiplexing, Differential Gene Expression Profiling, Differential Protein Expression Profiling, Dimensionality Reduction, Editing, Enrichment Analysis, Expression Analysis, Expression Correlation Analysis, Expression Data Visualisation, Expression Profile Clustering, Expression Profile Comparison, Functional Clustering, Gene Expression Profiling, Gene Methylation Analysis, Gene Regulatory Network Analysis, Gene Regulatory Network Prediction, Gene-Set Enrichment Analysis, Generation, Genetic Mapping, Genetic Variation Analysis, Genome Analysis, Genome Annotation, Genome Visualisation, Genotyping, Heat Map Generation, Image Analysis, Imputation, Incident Curve Plotting, Information Retrieval, Linkage Analysis, Mapping, Metabolic Pathway Prediction, Methylation Analysis, Microscope Image Visualisation, Modelling and Simulation, Molecular Dynamics, Network Analysis, Network Visualisation, Nucleic Acid Feature Detection, Nucleic Acid Sequence Analysis, Nucleosome Position Prediction, Ontology Visualisation, Pathway Analysis, Pathway Modelling, Peak Calling, Phylogenetic Analysis, Prediction and Recognition, Principal Component Analysis, Protein Comparison, Protein Function Comparison, Protein Function Prediction, Protein Identification, Protein Interaction Network Analysis, Protein Quantification, Protein-Protein Interaction Analysis, Quantification, Query and Retrieval, RNA Secondary Structure Prediction, RNA-Seq Analysis, RNA-Seq Quantification, Regression Analysis, SNP Annotation, SNP Detection, Scatter Plot Plotting, Sequence Alignment Analysis, Sequence Alignment Comparison, Sequence Analysis, Sequence Annotation, Sequence Classification, Sequence Cluster Visualisation, Sequence Clustering, Sequence Comparison, Sequence Composition Calculation, Sequence Editing, Sequence File Editing, Sequence Read Processing, Sequencing Quality Control, Simulated Gene Expression Data Generation, Sorting, Spectral Analysis, Standardisation and Normalisation, Statistical Calculation, Statistical Inference, Statistical Modelling, Structural Variation Detection, Structure Analysis, Text Mining, Tissue Modelling, Validation, Variant Calling, Variant Classification, Variant Effect Prediction, Visualisation, scRNA-Seq Analysis, Agent-Based Cell Modelling, Not Applicable",,True,,,,biotoolsschema,list like,"DNA Barcoding"
Tool Output Data,"Type of primary output data. Multiple values permitted, comma separated.","Accession, Alignment, Biological Model ID, Biological Model Name, Cell Line Name, Cell Migration Track Image, Cell Type Identifier, Cell Type Name, Cell Type Ontology ID, Chromosome Name, Chromosome Report, Clustered Expression Profiles, Codon Number, Comparison Matrix, Compound Identifier, Compound Name, Concentration, Count Matrix, DNA Sequence, Data Index, Data Reference, Database Search Results, Drug Identifier, Drug Name, Drug Report, Electronic Health Record, Enzyme Kinetics Data, Experimental Measurement, Expression Data, GO-Term Enrichment Data, Gene Expression Matrix, Gene Expression Profile, Gene ID, Gene ID (NCBI), Gene Identifier, Gene Name, Gene Report, Gene Symbol, Gene Tree, Genetic Map, Genotype/Phenotype Report, Heat Map, Hidden Markov Model, Hierarchy, Histogram, Identifier, Image, Image Metadata, Kinetic Model, MRI Image, Map, Map Data, Mass Spectrometry Data, Mass Spectrum, Mathematical Model, Matrix, Molecular Property, Molecular Simulation Data, Molecule Identifier, Molecule Name, Morphology Parameter, Mutation ID, Not Applicable, Nucleic Acid Identifier, Nucleic Acid Report, Nucleic Acid Sequence, Ontology, Ontology Concept Data, Ontology Data, Ontology Identifier, Ontology Mapping, Ontology Name, Ontology Term, Organism Identifier, Organism Name, Over-Represesntation Data, P-Value, Pair Sequence Alignment, Pathway Or Network, Pathway Or Network Report, Pathway Overrepresentation Data, Peptide Identification, Peptide Property, Phenotype Name, Phylogenetic Data, Phylogenetic Tree, Plain Text, Plot, Position Weight Matrix, Position-Specific Scoring Matrix, Protein Contact Map, Protein Identifier, Protein Interaction Data, Protein Name, Protein Property, Protein Report, Protein Sequence, Protein Structure Report, Quality Control Report, RNA Sequence, Raw Image, Reaction Data, RefSeq Accession, Report, Resource Metadata, Sample Annotation, Sample ID, Score, Sequence, Sequence Alignment, Sequence Attribute, Sequence Cluster, Sequence Composition Plot, Sequence Composition Report, Sequence Coordinates, Sequence Features, Sequence Image, Sequence Motif, Sequence Position, Sequence Property, Sequence Range, Sequence Record, Sequence Report, Sequence Search Results, Sequence Set, Sequence Signature Data, Sequence Similarity, Sequence Similarity Score, Sequence Variations, Simulation, Small Molecule Report, Spectrum, Statistical Estimate Score, Strain Identifier, Strain Name, Structure, Structure Report, Taxonomy, Text Data, Text Mining Report, Topology Data, Training Material, Trajectory Data, Transcription Factor Identifier, Transcription Factor Name, Vmax, dbSNP ID",,True,,,,biotoolsschema,list like,Gene ID (NCBI): NM_001282392.1
-Tool Output Format,"Allowed format(s) of the output data. Multiple values permitted, comma separated.","Alignment Format, Alignment Format (Pair Only), Alignment Format (Text), Annotated Text Format, Antimony, BAM, BCF, BED, BLAST Results, BNGL, Binary Format, Biological Model Format, Biological Pathway Or Network Format, CSV, Chemical Data Format, Cytoband Format, Cytoscape Input File Format, DCC, DCD, DSV, Database Hits (Sequence) Format , Docker Image Format, Document Format, Dot-Bracket Format, FASTA, FASTQ, FASTQ-Illumina, FCS, GCT/Res Format, GFF, GFF3, GIF, GML, GTF, Gene Annotation Format, Gene Cluster Format, Gene Expression Report Format, Genotype And Phenotype Annotation Format, Graph Format, H5AD, HDF, HDF5, HTML, Hidden Markov Model Format, Image Format, Individual Genetic Data Format, JPG, JSON, LSM, MAF, MAGE-ML, MAGE-TAB, MAT, MATLAB Script, MSF, Map Format, Mass Spectrometry Data Format, Matrix Format, NIFTI Format, Nexus Format, Not Applicable, NumPy Format, OME-TIFF, Ontology Format, PDF, PNG, PS, PSF, Phylip Format, Phylip Format Variant, Phylogenetic Tree Format, Phylogenetic Tree Format (Text), Protein Interaction Format, Python Script, R File Format, R Script, RDS, RNA Annotation Format, RNA Secondary Structure Format, RPKM, Raw Sequence Format, SAM, SBML, SQLite Format, SVG, Scores Format, Sequence Annotation Track Format, Sequence Cluster Format, Sequence Cluster Format (Protein), Sequence Feature Annotation Format, Sequence Feature Table Format, Sequence Feature Table Format (Text), Sequence Profile Format, Sequence Range Format, Sequence Record Format, Sequence Trace Format, Sequence Variation Annotation Format, TIFF, TSV, TXT, Tertiary Structure Format, Textual Format, Topology Format, Trajectory Format, VCF, Workflow Format, XML, YAML, bedgraph, bigWig, cel, imzML Metadata File, mzML, nii, pkl, sif, xls, xlsx, PDB, HED, MRC, Unspecified",,True,,,,biotoolsschema,list like,"Attribute: Tool Output Format
-Example: FASTQ"
+Tool Output Format,"Allowed format(s) of the output data. Multiple values permitted, comma separated.","Alignment Format, Alignment Format (Pair Only), Alignment Format (Text), Annotated Text Format, Antimony, BAM, BCF, BED, BLAST Results, BNGL, Binary Format, Biological Model Format, Biological Pathway Or Network Format, CSV, Chemical Data Format, Cytoband Format, Cytoscape Input File Format, DCC, DCD, DSV, Database Hits (Sequence) Format , Docker Image Format, Document Format, Dot-Bracket Format, FASTA, FASTQ, FASTQ-Illumina, FCS, GCT/Res Format, GFF, GFF3, GIF, GML, GTF, Gene Annotation Format, Gene Cluster Format, Gene Expression Report Format, Genotype And Phenotype Annotation Format, Graph Format, H5AD, HDF, HDF5, HTML, Hidden Markov Model Format, Image Format, Individual Genetic Data Format, JPG, JSON, LSM, MAF, MAGE-ML, MAGE-TAB, MAT, MATLAB Script, MSF, Map Format, Mass Spectrometry Data Format, Matrix Format, NIFTI Format, Nexus Format, Not Applicable, NumPy Format, OME-TIFF, Ontology Format, PDF, PNG, PS, PSF, Phylip Format, Phylip Format Variant, Phylogenetic Tree Format, Phylogenetic Tree Format (Text), Protein Interaction Format, Python Script, R File Format, R Script, RDS, RNA Annotation Format, RNA Secondary Structure Format, RPKM, Raw Sequence Format, SAM, SBML, SQLite Format, SVG, Scores Format, Sequence Annotation Track Format, Sequence Cluster Format, Sequence Cluster Format (Protein), Sequence Feature Annotation Format, Sequence Feature Table Format, Sequence Feature Table Format (Text), Sequence Profile Format, Sequence Range Format, Sequence Record Format, Sequence Trace Format, Sequence Variation Annotation Format, TIFF, TSV, TXT, Tertiary Structure Format, Textual Format, Topology Format, Trajectory Format, VCF, Workflow Format, XML, YAML, bedgraph, bigWig, cel, imzML Metadata File, mzML, nii, pkl, sif, xls, xlsx, PDB, HED, MRC, Unspecified",,True,,,,biotoolsschema,list like,"FASTQ"
Tool Package Dependencies,"Specifies the software libraries, frameworks, or other components that a tool or package relies on for its proper functioning. This attribute helps users understand the prerequisites needed for installation and usage of the tool within a given computational environment",,,False,,,,CWL,list like,"Python 3.7 or above, Django 2.2 or above, Postgresql 12.0 or above."
-Tool Package Dependencies Present,Indicates whether the required package dependencies for tool are present.,"True, False",,True,,,,CWL,,Tool Package Dependencies Present: True
+Tool Package Dependencies Present,Indicates whether the required package dependencies for tool are present.,"True, False",,True,,,,CWL,,True
Tool Grant Number,"Grant number associated with the tool's development. Multiple values permitted, comma separated.","Affiliated/Non-Grant Associated, CA184897, CA184898, CA188388, CA193313, CA193417, CA193419, CA193461, CA193489, CA195469, CA199315, CA202123, CA202144, CA202177, CA202229, CA202241, CA209891, CA209923, CA209971, CA209975, CA209978, CA209988, CA209992, CA209997, CA210152, CA210173, CA210180, CA210181, CA210184, CA210190, CA214282, CA214292, CA214297, CA214300, CA214354, CA214369, CA214381, CA214411, CA215709, CA215794, CA215798, CA215845, CA215848, CA217297, CA217376, CA217377, CA217378, CA217450, CA217456, CA217514, CA217613, CA217617, CA217655, CA220378, CA223976, CA224012, CA224013, CA224044, CA225088, CA225566, CA227136, CA227544, CA227550, CA228608, CA228963, CA231978, CA232137, CA232161, CA232209, CA232216, CA232382, CA232517, CA234787, CA235747, CA238475, CA238720, CA238728, CA240301, CA241137, CA241927, CA243004, CA243007, CA243072, CA243073, CA243075, CA244100, CA244101, CA244107, CA244109, CA245313, CA248890, CA249799, CA250040, CA250044, CA250046, CA250481, CA251443, CA253248, CA253472, CA253540, CA253547, CA253553, CA254200, CA254886, CA256054, CA256481, CA260432, CA261694, CA261701, CA261717, CA261719, CA261822, CA261841, CA261842, CA263001, CA264583, CA264610, CA264611, CA264620, CA267170, CA268069, CA268072, CA268083, CA268084, CA271273, CA274492, CA274494, CA274499, CA274502, CA274509, CA275808, CA279408, CA279560, CA280984, CA280849, CA280829, CA284090, CA284086, CA274504, CA283114, CA274507, CA274506, CA274511, CA282451",,True,,,,,list like,CA209975
Tool Pubmed Id,The pubMed identifer associated with the development of the tool.,,,False,,,,,int,26760201
Tool Release Date,The release date of a product or product model. This can be used to distinguish the exact variant of a product.,,,True,,,,schema.org,date,"January 5, 2022"
-Tool Topic,"General scientific domain the software serves, or other general category. Multiple values permitted, comma separated.","Allergy Clinical Immunology and Immunotherapeutics, Biochemistry, Bioimaging, Bioinformatics, Biological Databases, Biology, Biomedical Science, Biomolecular Simulation, Biophysics, Biotechnology, Biotherapeutics, Cell Biology, Cell Culture Collection, Chemistry, Chip-Seq, Chromosome Conformation Capture, Comparative Genomics, Compound Libraries and Screening, Computational Biology, Computer Science, Cytogenetics, Cytometry, DNA, DNA Mutation, DNA Packaging, DNA Polymorphism, Data Architecture Analysis and Design, Data Identity and Mapping, Data Mining, Data Submission Annotation and Curation, Data Visualisation, Developmental Biology, Drug Development, Drug Discovery, Drug Metabolism, Electron Microscopy, Epigenetics, Evolutionary Biology, Exome Sequencing, Experimental Design and Studies, Function Analysis, Functional Genomics, Functional Regulatory and Non-Coding RNA, GWAS Study, Gene Expression, Gene Regulation, Gene Structure, Gene Transcripts, Gene and Protein Families, Genetic Engineering, Genetic Variation, Genetics, Genomics, Genotype and Phenotype, Imaging, Immunoinformatics, Immunology, Immunomics, Immunoprecipitation Experiment, Immunoproteins and Antigens, Infectious Disease, Informatics, Laboratory Techniques, Light Microscopy, Lipids, Machine Learning, Mapping, Mathematics, Medical Imaging, Medical Informatics, Medicine, Medicines Research and Development, Membrane and Lipoproteins, Metagenomics, Molecular Biology, Molecular Genetics, Molecular Interactions Pathways and Networks, Nucleic Acid Structure Analysis, Nucleic Acids, Omics, Oncology, Ontology and Terminology, Pathology, Pharmacogenomics, Pharmacology, Pharmacovigilance, Phylogenetics, Phylogenomics, Phylogeny, Preclinical and Clinical Studies, Probes and Primers, Protein Expression, Protein Modifications, Protein Properties, Proteins, Proteomics, Proteomics Experiment, RNA, RNA-Seq, Safety Sciences, Sample Collections, Sequence Analysis, Sequencing, Simulation Experiment, Software Engineering, Statistics and Probability, Structural Analysis, Structural Biology, Systems Biology, Transcription Factors and Regulatory Sites, Transcriptomics, Virology, Whole Genome Sequencing, Workflows, scRNA-Seq",,False,,,,biotoolsschema,list like,Tool Topic: Bioinformatics
+Tool Topic,"General scientific domain the software serves, or other general category. Multiple values permitted, comma separated.","Allergy Clinical Immunology and Immunotherapeutics, Biochemistry, Bioimaging, Bioinformatics, Biological Databases, Biology, Biomedical Science, Biomolecular Simulation, Biophysics, Biotechnology, Biotherapeutics, Cell Biology, Cell Culture Collection, Chemistry, Chip-Seq, Chromosome Conformation Capture, Comparative Genomics, Compound Libraries and Screening, Computational Biology, Computer Science, Cytogenetics, Cytometry, DNA, DNA Mutation, DNA Packaging, DNA Polymorphism, Data Architecture Analysis and Design, Data Identity and Mapping, Data Mining, Data Submission Annotation and Curation, Data Visualisation, Developmental Biology, Drug Development, Drug Discovery, Drug Metabolism, Electron Microscopy, Epigenetics, Evolutionary Biology, Exome Sequencing, Experimental Design and Studies, Function Analysis, Functional Genomics, Functional Regulatory and Non-Coding RNA, GWAS Study, Gene Expression, Gene Regulation, Gene Structure, Gene Transcripts, Gene and Protein Families, Genetic Engineering, Genetic Variation, Genetics, Genomics, Genotype and Phenotype, Imaging, Immunoinformatics, Immunology, Immunomics, Immunoprecipitation Experiment, Immunoproteins and Antigens, Infectious Disease, Informatics, Laboratory Techniques, Light Microscopy, Lipids, Machine Learning, Mapping, Mathematics, Medical Imaging, Medical Informatics, Medicine, Medicines Research and Development, Membrane and Lipoproteins, Metagenomics, Molecular Biology, Molecular Genetics, Molecular Interactions Pathways and Networks, Nucleic Acid Structure Analysis, Nucleic Acids, Omics, Oncology, Ontology and Terminology, Pathology, Pharmacogenomics, Pharmacology, Pharmacovigilance, Phylogenetics, Phylogenomics, Phylogeny, Preclinical and Clinical Studies, Probes and Primers, Protein Expression, Protein Modifications, Protein Properties, Proteins, Proteomics, Proteomics Experiment, RNA, RNA-Seq, Safety Sciences, Sample Collections, Sequence Analysis, Sequencing, Simulation Experiment, Software Engineering, Statistics and Probability, Structural Analysis, Structural Biology, Systems Biology, Transcription Factors and Regulatory Sites, Transcriptomics, Virology, Whole Genome Sequencing, Workflows, scRNA-Seq",,False,,,,biotoolsschema,list like,Bioinformatics
Tool Type,"A type of application software: a discrete software entity can have more than one type. Multiple values permitted, comma separated.","Bioinformatics Portal, Command-Line Tool, Database Portal, Desktop Application, Library, Notebook, Ontology, Other, Plug-In, SPARQL Endpoint, Script, Serialized Model, Suite, Web API, Web Application, Web Service, Workbench, Workflow",,False,,,,biotoolsschema,list like,Command-Line Tool
Tool Version,Version information (typically a version number) of the software applicable to this entry.,,,False,,,,biotoolsschema,,3.2.1
Tool View,The denormalized manifest for tool submission.,,"Component, ToolView_id, Study key, DatasetView Key, PublicationView Key, Tool Name, Tool Description, Tool Homepage, Tool Version, Tool Operation, Tool Input Data, Tool Output Data, Tool Input Format, Tool Output Format, Tool Function Note, Tool Cmd, Tool Type, Tool Topic, Tool Operating System, Tool Language, Tool License, Tool Cost, Tool Accessibility, Tool Download Url, Tool Download Type, Tool Download Note, Tool Download Version, Tool Documentation Url, Tool Documentation Type, Tool Documentation Note, Tool Link Url, Tool Link Type, Tool Link Note, Tool Date Last Modified, Tool Release Date, Tool Package Dependencies, Tool Package Dependencies Present, Tool Compute Requirements, Tool Entity Name, Tool Entity Type, Tool Entity Role",False,,,Study,,,"In a software interface, the 'Tool View' attribute might be set to ""Detail View"" or ""Thumbnail View""."
From 02342701dfa4c050d8ba1eb177e6a5a65d262596 Mon Sep 17 00:00:00 2001
From: davidrollins12
Date: Wed, 5 Feb 2025 17:54:53 -0600
Subject: [PATCH 005/106] save progress on editing the annotation properties
---
modules/file/template.csv | 3 +--
modules/grant/template.csv | 14 ++++++-------
modules/person/template.csv | 8 +++----
modules/publication/template.csv | 18 ++++++++--------
modules/study/template.csv | 12 +++++------
modules/tool/template.csv | 36 ++++++++++++++------------------
6 files changed, 43 insertions(+), 48 deletions(-)
diff --git a/modules/file/template.csv b/modules/file/template.csv
index 446d810f..5c26b7d0 100644
--- a/modules/file/template.csv
+++ b/modules/file/template.csv
@@ -15,6 +15,5 @@ File Longitudinal Sequence Identifier,"The order in which this file was collecte
File Longitudinal Time Elapsed Unit,The unit of time associated with Sequential and Total Time Elapsed attributes.,False,str,Seconds
File Longitudinal Sequential Time Elapsed,The time elapsed between collecting the current and previous files in this longitudinal group. ,False,num,"""2 hours 45 minutes"""
File Longitudinal Total Time Elapsed,The total time elapsed between the first and current files contained this longitudinal group. ,False,num,"""120 minutes"""
-[File Format](../valid_values/file.md#attribute-file-format),The format of the file described by this entry.,True,_None_,"Attribute: File Format
-Example: CSV "
+[File Format](../valid_values/file.md#attribute-file-format),The format of the file described by this entry.,True,_None_,CSV
File Alias,"A string identifier associated with the file. Must be unique. Can be the repository accesssion number (e.g., Synapse ID, GEO identifier such as GSE12345). No Greek Letters or DOIs.",True,unique,"""Breast_Cancer_Gene_Expression.csv"""
diff --git a/modules/grant/template.csv b/modules/grant/template.csv
index e962013a..81f79009 100644
--- a/modules/grant/template.csv
+++ b/modules/grant/template.csv
@@ -1,14 +1,14 @@
Attribute,Description,Required,Validation Rules,Examples
-Grant Name,Name of the grant,True,_None_,"""COVID-19 Small Business Relief Fund"""
+Grant Name,Name of the grant,True,_None_,"""Research Grant for Cancer Genomics"""
Grant Number,"Number of the grant (i.e. ""CA------"" format)",True,regex search ^CA\\d{6}$,DE-FG02-01ER45923
-Grant Abstract,Abstract for the grant,True,_None_,"""This grant aims to study the effects of climate change on the migration patterns of bird species across North America. Over the course of the five-year project, the research team will employ cutting-edge tracking techniques and extensive field work to gather data. The findings will be used to predict future shifts in bird migration, and inform wildlife conservation strategies. In addition, this study will contribute to the broader understanding of the impacts of global warming on biodiversity and ecosystems."""
+Grant Abstract,Abstract for the grant,True,_None_,"""Your grant abstract."""
[Grant Type](../valid_values/grant.md#attribute-grant-type),Type of grant,True,_None_,R37
Grant View,The denormalized manifest for grant submission.,False,_None_,Grant View: Public
-[Grant Theme Name](../valid_values/grant.md#attribute-grant-theme-name),Theme(s) associated with the grant. 1...*,True,list like,"Interaction, Viral/Bacterial Oncogenesis"
-[Grant Institution Name](../valid_values/grant.md#attribute-grant-institution-name),The full name of the institution(s) associated with the grant. (e.g. Harvard University). 1...*,True,list like,Brigham and Womens Hospital
-[Grant Institution Alias](../valid_values/grant.md#attribute-grant-institution-alias),The alias of the institution(s) associated with the grant (e.g. UCSD). 1...*,True,list like,Stanford
-Grant Investigator,Investigator(s) associated witht the grant. 1...*,True,list like,Dr. John Smith
-[Grant Consortium Name](../valid_values/grant.md#attribute-grant-consortium-name),Consortium(s) associated with the grant. 1...1,True,_None_,Grant Consortium Name: HTAN
+[Grant Theme Name](../valid_values/grant.md#attribute-grant-theme-name),Theme(s) associated with the grant. ,True,list like,"Interaction, Viral/Bacterial Oncogenesis"
+[Grant Institution Name](../valid_values/grant.md#attribute-grant-institution-name),The full name of the institution(s) associated with the grant. (e.g. Harvard University). ,True,list like,Brigham and Womens Hospital
+[Grant Institution Alias](../valid_values/grant.md#attribute-grant-institution-alias),The alias of the institution(s) associated with the grant (e.g. UCSD). ,True,list like,Stanford
+Grant Investigator,Investigator(s) associated witht the grant. ,True,list like,Dr. John Smith
+[Grant Consortium Name](../valid_values/grant.md#attribute-grant-consortium-name),Consortium(s) associated with the grant. ,True,_None_,Grant Consortium Name: HTAN
GrantView_id,A unique primary key that enables record updates using schematic.,True,unique,"""GV12345"""
Grant Synapse Team,"The Synapse team associated with the grant, created by the MC2 Center",False,url,"Team: Project Management, Permission: Edit"
Grant Synapse Project,"The Synapse project associated with the grant, created by the MC2 Center",False,url,"Synapse_ID: syn123456789, Grant_Name: NIH Brain Initiative Grant"
diff --git a/modules/person/template.csv b/modules/person/template.csv
index 4e0be9e7..6ce5eb5c 100644
--- a/modules/person/template.csv
+++ b/modules/person/template.csv
@@ -13,8 +13,8 @@ Last Known Institution,Last known institutional affiliation of the individual.,T
Person View,The denormalized manifest for person submission.,False,_None_,Public Profile View
[Person Grant Number](../valid_values/person.md#attribute-person-grant-number),"Grant number(s) associated with the person. Multiple values permitted, comma separated.",True,list like,Person Grant Number: CA202177
[Person Consortium Name](../valid_values/person.md#attribute-person-consortium-name),"Consortium(s) associated with the person. Multiple values permitted, comma separated.",True,list like,PDMC
-Person Publications,"A list of the pubmed Ids associated with the person. Multiple values permitted, comma separated.",False,list like,"""Harry Potter and the Sorcerer's Stone"" by J.K. Rowling, ""1984"" by George Orwell, ""To Kill a Mockingbird"" by Harper Lee"
-Person Datasets,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the person. Multiple values permitted, comma separated.",False,list like,"Name: John Doe,Gender: Male, Birthday: July 1, 1980, Nationality: American, Address: 123 Main Street, Anytown, USA, Phone Number: 123-456-7890, Email: johndoe@email.com, Occupation: Software Engineer, Marital Status: Married, Number of Children: 2"
-Person Tools,"A list of the tool names associated with the person. Multiple values permitted, comma separated.",False,list like,"Hammer, Screwdriver, Laptop, Paintbrush, Scissors"
-Person Educational Resources,"A list of educational resource identifiers associated with the person. Multiple values permitted, comma separated.",False,list like,"College textbooks, online courses, research papers, educational software, library access, tutoring services, webinars, academic journals, study guides, educational workshops, scholarship information."
+Person Publications,"A list of the pubmed Ids associated with the person. Multiple values permitted, comma separated.",False,list like,"""23761710,23761712,23762511"
+Person Datasets,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the person. Multiple values permitted, comma separated.",False,list like,GSE12345
+Person Tools,"A list of the tool names associated with the person. Multiple values permitted, comma separated.",False,list like,"R Studio, Python, Jupyter Notebook"
+Person Educational Resources,"A list of educational resource identifiers associated with the person. Multiple values permitted, comma separated.",False,list like,Nan
PersonView_id,A unique primary key that enables record updates using schematic.,True,unique,PersonView_12345
diff --git a/modules/publication/template.csv b/modules/publication/template.csv
index 41a70851..cda87329 100644
--- a/modules/publication/template.csv
+++ b/modules/publication/template.csv
@@ -5,14 +5,14 @@ Pubmed Id,The PubMed identifier associated with the publication.,True,unique,265
Pubmed Url,Pubmed URL for the publication,True,url,https://www.ncbi.nlm.nih.gov/pubmed/12345678
Publication Title,Title of the publication,True,_None_,"""The New York Times"""
Publication Year,Year of the publication,True,_None_,2018
-Publication Keywords,"Keywords associated with the publication. Multiple values permitted, comma separated.",False,list like,"""Climate Change, Global Warming, Greenhouse Gases, Environmental Impact, Sustainability"""
-Publication Authors,"Authors of the publication. Multiple values permitted, comma separated.",True,list like,"""J.K. Rowling, Stephen King, Jane Austen"""
-Publication Abstract,The abstract of the publication.,True,_None_,"""This article explores the developmental effects of cannabinoid exposure in zebrafish, one of the important vertebrate model systems in functional and comparative genomics. Drawing from a series of rigorous molecular analysis, the study establishes that prolonged exposure to cannabinoids impairs critical developmental processes at particular stages. The findings of this research not only contribute to our understanding of zebrafish neurobiology but also raise critical implications for human health, particularly in the context of increasing medicinal use of cannabinoids."""
-[Publication Assay](../valid_values/publication.md#attribute-publication-assay),"Assay(s) associated with the publication. Multiple values permitted, comma separated.",True,list like,Publication Assay: In Vivo Bioluminescence
+Publication Keywords,"Keywords associated with the publication. Multiple values permitted, comma separated.",False,list like,"""Cancer Pathways, Inflammation, Tumor Microenvironment"""
+Publication Authors,"Authors of the publication. Multiple values permitted, comma separated.",True,list like,"""Dr. Sarah Johnson, Dr. Michael Lee, Prof. Amanda Carter"""
+Publication Abstract,The abstract of the publication.,True,_None_,Nan
+[Publication Assay](../valid_values/publication.md#attribute-publication-assay),"Assay(s) associated with the publication. Multiple values permitted, comma separated.",True,list like,In Vivo Bioluminescence
[Publication Tumor Type](../valid_values/publication.md#attribute-publication-tumor-type),"Tumor type(s) associated with the publication. Multiple values permitted, comma separated.",True,list like,Acute Lymphoblastic Leukemia
-[Publication Tissue](../valid_values/publication.md#attribute-publication-tissue),"Tissue type(s) associated with the publication. Multiple values permitted, comma separated.",True,list like,Publication Tissue: Brain
-[Publication Accessibility](../valid_values/publication.md#attribute-publication-accessibility),Whether there are non-monetary restrictions on accessing an the publication.,True,_None_,Publication Accessibility: Open Access
+[Publication Tissue](../valid_values/publication.md#attribute-publication-tissue),"Tissue type(s) associated with the publication. Multiple values permitted, comma separated.",True,list like,Brain
+[Publication Accessibility](../valid_values/publication.md#attribute-publication-accessibility),Whether there are non-monetary restrictions on accessing an the publication.,True,_None_,Open Access
Publication View,The denormalized manifest for publication submission.,False,_None_,Online
-[Publication Grant Number](../valid_values/publication.md#attribute-publication-grant-number),"Relevant grant number associated witht the publication's development. Multiple values permitted, comma separated.",True,list like,Publication Grant Number: CA202123
-Publication Dataset Alias,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the publication. Multiple values permitted, comma separated.",False,list like,"""Annual Crime Report 2020"""
-PublicationView_id,A unique primary key that enables record updates using schematic.,True,unique,1012
+[Publication Grant Number](../valid_values/publication.md#attribute-publication-grant-number),"Relevant grant number associated witht the publication's development. Multiple values permitted, comma separated.",True,list like,CA202123
+Publication Dataset Alias,"A list of the dataset aliases (An alias of the dataset must be unique. Can be the GEO identifier such as GSE12345, or a DOI. No Greek Letters) associated with the publication. Multiple values permitted, comma separated.",False,list like,"GSE45678, DOI:10.1000/exampledataset"
+PublicationView_id,A unique primary key that enables record updates using schematic.,True,unique,PublicationView_45678
diff --git a/modules/study/template.csv b/modules/study/template.csv
index 3388db98..90ba2801 100644
--- a/modules/study/template.csv
+++ b/modules/study/template.csv
@@ -1,14 +1,14 @@
Attribute,Description,Required,Validation Rules,Examples
-Study,Studies associated with a grant,False,_None_,"""Physics"""
-Study Name,Name of the study,True,str,"""Effects of Diet and Exercise on Obesity"""
-Study Description,"Description of the study, including the types of experimental assays, model systems, types of analysis, etc.",True,str,"""Analysis of Cardiovascular Response during Exercise"""
-Study Investigator,Investigator(s) associated with the project. Multiple names should be provided as a comma-separated list.,True,list like,"Dr. John Smith, PhD in Neuroscience, University of California"
+Study,Studies associated with a grant,False,_None_,"""ProjectView_45678"""
+Study Name,Name of the study,True,str,"""Effects of Diet and Exercise on Cancer"""
+Study Description,"Description of the study, including the types of experimental assays, model systems, types of analysis, etc.",True,str,"""Analysis of Cancerous Cell Response during Exercise"""
+Study Investigator,Investigator(s) associated with the project. Multiple names should be provided as a comma-separated list.,True,list like,Dr. Jane Smith
Study Reuse Statement,"The funder-, contributor-, patient-, etc., derived content that includes terms, conditions, or statements associated with accessing and reusing the resource(s).",False,str,"""Data from this study can be used for future research purposes under the conditions that all information is properly cited and referenced."""
Study_id,A unique primary key that enables record updates using schematic.,True,unique,STUDY_2021_01Biology
Study Number of Participants,The number of participant instances associated with systematic investigation into a subject. ,True,int,5000
[Study De-identification Method Type](../valid_values/study.md#attribute-study-de-identification-method-type),General description of the de-identification method,True,_None_,Manual
-Study De-identification Method Description,Description of the process of removing potentially identifying data or data elements to render data into a form that does not identify individuals and where identification is not likely to take place.,False,str,"The study de-identification method description might be something like: ""All personal identifiable information such as names, addresses, and identification numbers were removed from the data. The dates were also shifted to a random point in the future to preserve the temporal relationships but without revealing the actual dates. The datasets were further reviewed and verified by a privacy officer to ensure all participants' identity is completely unidentifiable."""
+Study De-identification Method Description,Description of the process of removing potentially identifying data or data elements to render data into a form that does not identify individuals and where identification is not likely to take place.,False,str,"All personal identifiable information such as names, addresses, and identification numbers were removed from the data. The dates were also shifted to a random point in the future to preserve the temporal relationships but without revealing the actual dates. The datasets were further reviewed and verified by a privacy officer to ensure all participants' identity is completely unidentifiable."
Study De-identification Method Software,Software that was used to de-identify the images (if used),False,str,"""Safe Harbor Method Software"""
Study dbGaP Accession Id,A stable unique alphanumeric identifier assigned to a study and any objects by the database of Genotypes and Phenotypes (dbGaP). Required for controlled access data being submitted to CDS/CRDC.,False,str,phs000424.v7.p2
[Study License](../valid_values/study.md#attribute-study-license),Official or legal permission to do or own a specified thing. Studies with data that will be submitted to CDS are required to provide a license.,False,_None_,CC BY-NC 4.0
-[Study Data Use Codes](../valid_values/study.md#attribute-study-data-use-codes),"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials and relates to the purposes for which datasets and/or material might be removed, stored, or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes",False, list like,Study Data Use Codes: NCU
+[Study Data Use Codes](../valid_values/study.md#attribute-study-data-use-codes),"DUO code - A data item that is used to indicate consent permissions for datasets and/or materials and relates to the purposes for which datasets and/or material might be removed, stored, or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/sharingPlans/#attribute-dsp-data-use-codes",False, list like,NCU
diff --git a/modules/tool/template.csv b/modules/tool/template.csv
index 34c1edbc..8c1d92e2 100644
--- a/modules/tool/template.csv
+++ b/modules/tool/template.csv
@@ -1,45 +1,41 @@
Attribute,Description,Required,Validation Rules,Examples
-[Tool Accessibility](../valid_values/tool.md#attribute-tool-accessibility),Whether there are non-monetary restrictions on accessing an online service.,False,_None_,"Tool Accessibility: Open Access (With Restrictions) - The company's data analytics tool is open to all employees, but access to certain sensitive information within the tool is restricted to upper management."
+[Tool Accessibility](../valid_values/tool.md#attribute-tool-accessibility),Whether there are non-monetary restrictions on accessing an online service.,False,_None_,Nan
Tool Cmd,"Relevant command, command-line fragment, or option for executing this function/running the tool in this mode.",False,_None_,"""export GIT_TRACE=1"""
-Tool Compute Requirements,"Component dependency requirements for application. This includes runtime environments and shared libraries that are not included in the application distribution package, but required to run the application (examples: DirectX, Java or .NET runtime).",False,"list like, url","CPU: Intel i7, RAM: 16GB, Hard Disk Space: 500GB, Operating System: Windows 10, GPU: Nvidia GTX 1060 6GB, Internet Connection: Broadband."
+Tool Compute Requirements,"Component dependency requirements for application. This includes runtime environments and shared libraries that are not included in the application distribution package, but required to run the application (examples: DirectX, Java or .NET runtime).",False,"list like, url","Python, pip, pandas, matplotlib"
[Tool Cost](../valid_values/tool.md#attribute-tool-cost),Monetary cost of acquiring the software.,False,_None_,Commercial
Tool Date Last Modified,"The date indicating when the tool's entry was most recently modified or updated, providing a timestamp of the latest changes made to the tool's information.",False,date,11/04/2021 15:30:45
-Tool Description,Textual description of the tool.,True,_None_,"This powerful electric drill comes with a 10 amp motor, providing high performance in heavy-duty applications. This tool possesses a 1/2-inch all-metal, single-sleeve, ratcheting keyless chuck with automatic spindle lock that provides greater bit retention and tool-free convenience. Additionally, it is designed with a soft grip handle and two-finger trigger for increased comfort and greater control. This drill also features a 360-degree locking side handle with soft grip for increased maneuverability and control."
+Tool Description,Textual description of the tool.,True,_None_,This is a Python tool that ...
Tool Documentation Note,Comment about the documentation.,False,_None_,"""This software comes with comprehensive user manuals and FAQs to assist in navigation and troubleshooting. Regular updates to the documentation are provided based on software upgrades."""
[Tool Documentation Type](../valid_values/tool.md#attribute-tool-documentation-type),"Type of documentation that is linked to. Multiple values permitted, comma separated.",False,list like,API Documentation
-Tool Documentation Url,Link to documentation on the web for the tool.,False,_None_,"""https://docs.google.com/spreadsheets/"""
+Tool Documentation Url,Link to documentation on the web for the tool.,False,_None_,"""https://docs.example.com/"""
Tool Download Note,Comment about the download.,False,_None_,"""Before downloading this tool, ensure your device has adequate storage space and meets the minimum system requirements. Also, our tools may require specific software or apps to function properly. Please refer to our website for detailed information about the required software."""
[Tool Download Type](../valid_values/tool.md#attribute-tool-download-type),"The type of data, information, or system that is obtained when the link is resolved.",False,_None_,API Specification
Tool Download Url,Link to download (or repo providing a download) for the software.,False,_None_,https://example.com/tool-download/version2.0
Tool Download Version,Version information (typically a version number) of the software applicable to this download.,False,_None_,1.0.3
-Tool Entity Name,Name of the entities that may be credited,False,list like,Hammer
-[Tool Entity Role](../valid_values/tool.md#attribute-tool-entity-role),"Role performed by entity that is credited, e.g. βDeveloperβ",True,list like,"For an open-source software project, different individuals or teams could take on various roles: the 'Developer' builds and enhances the software, the 'Maintainer' ensures it is debugged and up to date, the 'Provider' supplies the software to users, the 'Documentor' creates guides and manuals, 'Contributors' improve the software, the 'Support' team assists with technical issues, and the 'Primary Contact' handles overall inquiries."
+Tool Entity Name,Name of the entities that may be credited,False,list like,"Python, pip"
+[Tool Entity Role](../valid_values/tool.md#attribute-tool-entity-role),"Role performed by entity that is credited, e.g. βDeveloperβ",True,list like,"Developer, Maintainer, Provider, Documentor, Contributor"
[Tool Entity Type](../valid_values/tool.md#attribute-tool-entity-type),"Types of entities that may be credited, e.g. βPersonβ.",True,list like,Person
-Tool Function Note,"Concise comment about this function, if not apparent from the software description and EDAM annotations.",False,_None_,"""The tool is primarily used for cutting hard materials, but can also be utilized for shaping, smoothing, and finishing tasks depending on the type of blade or attachment used."""
+Tool Function Note,"Concise comment about this function, if not apparent from the software description and EDAM annotations.",False,_None_,The tool is used to programmatically ...
[Tool Grant Number](../valid_values/tool.md#attribute-tool-grant-number),"Grant number associated with the tool's development. Multiple values permitted, comma separated.",True,list like,CA209975
-Tool Homepage,"Homepage of the software, or some URL that best serves this purpose.",True,url,https://www.microsoft.com/en-us/windows/
-[Tool Input Data](../valid_values/tool.md#attribute-tool-input-data),"Type of primary input data. Multiple values permitted, comma separated.",True,list like,"Attribute: Tool Input Data
-Example: DNA Sequence"
-[Tool Input Format](../valid_values/tool.md#attribute-tool-input-format),"Allowed format(s) of the input data. Multiple values permitted, comma separated.",True,list like,"Attribute: Tool Input Format
-Example: CSV"
+Tool Homepage,"Homepage of the software, or some URL that best serves this purpose.",True,url,https://www.example.com/
+[Tool Input Data](../valid_values/tool.md#attribute-tool-input-data),"Type of primary input data. Multiple values permitted, comma separated.",True,list like,DNA Sequence
+[Tool Input Format](../valid_values/tool.md#attribute-tool-input-format),"Allowed format(s) of the input data. Multiple values permitted, comma separated.",True,list like,CSV
[Tool Language](../valid_values/tool.md#attribute-tool-language),"Name of programming language the software source code was written in. Multiple values permitted, comma separated.",False,list like,Tool Language: Python
-[Tool License](../valid_values/tool.md#attribute-tool-license),"Software or data usage license. Multiple values permitted, comma separated.",False,list like,Tool License: Apache-2.0
+[Tool License](../valid_values/tool.md#attribute-tool-license),"Software or data usage license. Multiple values permitted, comma separated.",False,list like,Apache-2.0
Tool Link Note,Comment about the link.,False,_None_,"""This tool cannot be accessed without a valid institutional login."""
-[Tool Link Type](../valid_values/tool.md#attribute-tool-link-type),"The type of data, information or system that is obtained when the link is resolved. Multiple values permitted, comma separated.",False,list like,Tool Link Type: Social Media
+[Tool Link Type](../valid_values/tool.md#attribute-tool-link-type),"The type of data, information or system that is obtained when the link is resolved. Multiple values permitted, comma separated.",False,list like,Social Media
Tool Link Url,A link of some relevance to the software (URL).,False,_None_,https://www.example.com/tool-info.html
Tool Name,Canonical tool name provided by the tool developer or service provider.,True,unique,Adobe Photoshop
[Tool Operating System](../valid_values/tool.md#attribute-tool-operating-system),"The operating system supported by a downloadable software package. Multiple values permitted, comma separated.",False,list like,Linux
-[Tool Operation](../valid_values/tool.md#attribute-tool-operation),"The basic operation(s) performed by this software function. Multiple values permitted, comma separated.",True,list like,"Attribute: Tool Operation
-Example: DNA Barcoding"
+[Tool Operation](../valid_values/tool.md#attribute-tool-operation),"The basic operation(s) performed by this software function. Multiple values permitted, comma separated.",True,list like,DNA Barcoding
[Tool Output Data](../valid_values/tool.md#attribute-tool-output-data),"Type of primary output data. Multiple values permitted, comma separated.",True,list like,Gene ID (NCBI): NM_001282392.1
-[Tool Output Format](../valid_values/tool.md#attribute-tool-output-format),"Allowed format(s) of the output data. Multiple values permitted, comma separated.",True,list like,"Attribute: Tool Output Format
-Example: FASTQ"
+[Tool Output Format](../valid_values/tool.md#attribute-tool-output-format),"Allowed format(s) of the output data. Multiple values permitted, comma separated.",True,list like,FASTQ
Tool Package Dependencies,"Specifies the software libraries, frameworks, or other components that a tool or package relies on for its proper functioning. This attribute helps users understand the prerequisites needed for installation and usage of the tool within a given computational environment",False,list like,"Python 3.7 or above, Django 2.2 or above, Postgresql 12.0 or above."
-[Tool Package Dependencies Present](../valid_values/tool.md#attribute-tool-package-dependencies-present),Indicates whether the required package dependencies for tool are present.,True,_None_,Tool Package Dependencies Present: True
+[Tool Package Dependencies Present](../valid_values/tool.md#attribute-tool-package-dependencies-present),Indicates whether the required package dependencies for tool are present.,True,_None_,True
[Tool Grant Number](../valid_values/tool.md#attribute-tool-grant-number),"Grant number associated with the tool's development. Multiple values permitted, comma separated.",True,list like,CA209975
Tool Pubmed Id,The pubMed identifer associated with the development of the tool.,False,int,26760201
Tool Release Date,The release date of a product or product model. This can be used to distinguish the exact variant of a product.,True,date,"January 5, 2022"
-[Tool Topic](../valid_values/tool.md#attribute-tool-topic),"General scientific domain the software serves, or other general category. Multiple values permitted, comma separated.",False,list like,Tool Topic: Bioinformatics
+[Tool Topic](../valid_values/tool.md#attribute-tool-topic),"General scientific domain the software serves, or other general category. Multiple values permitted, comma separated.",False,list like,Bioinformatics
[Tool Type](../valid_values/tool.md#attribute-tool-type),"A type of application software: a discrete software entity can have more than one type. Multiple values permitted, comma separated.",False,list like,Command-Line Tool
Tool Version,Version information (typically a version number) of the software applicable to this entry.,False,_None_,3.2.1
Tool View,The denormalized manifest for tool submission.,False,_None_,"In a software interface, the 'Tool View' attribute might be set to ""Detail View"" or ""Thumbnail View""."
From 85b6a0cf339b7a11e8e1827c41cc2c37a653082b Mon Sep 17 00:00:00 2001
From: davidrollins12
Date: Thu, 6 Feb 2025 11:03:09 -0600
Subject: [PATCH 006/106] add tutorial fix up tables
---
.../dca_demo_biospecimen_template.png | Bin 0 -> 207280 bytes
docs/assets/dca-tutorial/select_dcc.png | Bin 0 -> 289100 bytes
docs/assets/dca-tutorial/select_folder.png | Bin 0 -> 261081 bytes
docs/assets/dca-tutorial/select_project.png | Bin 0 -> 233868 bytes
docs/assets/dca-tutorial/select_template.png | Bin 0 -> 349225 bytes
.../dca-tutorial/validate_submit_metadata.png | Bin 0 -> 381062 bytes
docs/home/tutorial.md | 95 ++++++++++++------
modules/dataset/annotationProperty.csv | 2 +-
modules/education/annotationProperty.csv | 16 +--
modules/file/annotationProperty.csv | 8 +-
modules/grant/annotationProperty.csv | 8 +-
modules/person/annotationProperty.csv | 10 +-
modules/tool/annotationProperty.csv | 4 +-
13 files changed, 90 insertions(+), 53 deletions(-)
create mode 100644 docs/assets/dca-tutorial/dca_demo_biospecimen_template.png
create mode 100644 docs/assets/dca-tutorial/select_dcc.png
create mode 100644 docs/assets/dca-tutorial/select_folder.png
create mode 100644 docs/assets/dca-tutorial/select_project.png
create mode 100644 docs/assets/dca-tutorial/select_template.png
create mode 100644 docs/assets/dca-tutorial/validate_submit_metadata.png
diff --git a/docs/assets/dca-tutorial/dca_demo_biospecimen_template.png b/docs/assets/dca-tutorial/dca_demo_biospecimen_template.png
new file mode 100644
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