Merge branch '2026-03-arctic' of https://github.com/NCEAS/nceas-training into 2026-03-arctic

Author: NicoleMGreco

materials/sections/adc-intro-to-policies.qmd

@@ -18,7 +18,7 @@ We’re best known in the research community as a data archive – researchers u
 
 NSF has long had a commitment to data reuse and sharing. Since our start in 2016, we’ve grown substantially – from that original 4 TB of data from ACADIS to now over 300 TB at the start of 2026. In 2021 alone, we saw 16% growth in dataset count, and about 30% growth in data volume. This increase has come from advances in tools – both ours and of the scientific community, plus active community outreach and a strong culture of data preservation from NSF and from researchers. We plan to add more storage capacity in the coming months, as researchers are coming to us with datasets in the terabytes, and we’re excited to preserve these research products in our archive. We’re projecting our growth to be around several hundred TB this year, which has a big impact on processing time. Give us a heads up if you’re planning on having larger submissions so that we can work with you and be prepared for a large influx of data.
 
-![](images/arctic-data-center/ADC repo size jan 2025.png)
+![](images/arctic-data-center/ADC-growth-repro.png)
 
 The data that we have in the Arctic Data Center comes from a wide variety of disciplines. These different programs within NSF all have different focuses – the Arctic Observing Network supports scientific and community-based observations of biodiversity, ecosystems, human societies, land, ice, marine and freshwater systems, and the atmosphere as well as their social, natural, and/or physical environments, so that encompasses a lot right there in just that one program. We’re also working on a way right now to classify the datasets by discipline, so keep an eye out for that coming soon.
 

materials/sections/metadata-adc-data-documentation-hands-on.qmd

@@ -757,31 +757,6 @@ fig-align="center"}](https://datascience.codata.org/articles/10.5334/dsj-2020-04
     [guidelines](https://arcticdata.io/data-ethics/) on how to write and
     what to include in an Ethical Research Practices Statement.
 
-## Exercise: Evaluate a Data Package on the ADC Repository
-
-Explore data packages published on the ADC assess the quality of their
-metadata. Imagine you're a data curator!
-
-::: callout-tip
-### Setup
-
-1.  Break into groups and use the following data packages:
-    a.  **Group A:** ADC Data Portal [White spruce (Picea glauca)
-        densities at Brooks Range treelines, Alaska
-        (2019-2022)](https://doi.org/10.18739/A2Q52FF49)
-    b.  **Group B:** ADC Data Portal [A 2022 household survey about
-        impacts and human response to climate-related multi-hazards in
-        Anchorage, Fairbanks, and
-        Whitehorse](https://doi.org/10.18739/A23R0PV62)
-    c.  **Group C:** ADC Data Portal [Summertime water quality
-        measurements at beaver ponds and associated locations in Arctic
-        Alaska, 2022-2026](https://doi.org/10.18739/A2P55DJ42)
-:::
-
-You and your group will evaluate a data package for its: (1) metadata
-quality, (2) data documentation quality for reproducibility, and (3)
-FAIRness and CAREness.
-
 ## Research Data Publishing Ethics
 
 For over 20 years, the [Committee on Publication Ethics (COPE)](https://publicationethics.org/) has provided trusted guidance on ethical practices for scholarly publishing.
@@ -823,6 +798,31 @@ The group has also published templates for use by publishers and repositories to
 
 ![Force11/COPE](images/force11-cope-logos.png)
 
+## Exercise: Evaluate a Data Package on the ADC Repository
+
+Explore data packages published on the ADC assess the quality of their
+metadata. Imagine you're a data curator!
+
+::: callout-tip
+### Setup
+
+1.  Break into groups and use the following data packages:
+    a.  **Group A:** ADC Data Portal [White spruce (Picea glauca)
+        densities at Brooks Range treelines, Alaska
+        (2019-2022)](https://doi.org/10.18739/A2Q52FF49)
+    b.  **Group B:** ADC Data Portal [A 2022 household survey about
+        impacts and human response to climate-related multi-hazards in
+        Anchorage, Fairbanks, and
+        Whitehorse](https://doi.org/10.18739/A23R0PV62)
+    c.  **Group C:** ADC Data Portal [Summertime water quality
+        measurements at beaver ponds and associated locations in Arctic
+        Alaska, 2022-2026](https://doi.org/10.18739/A2P55DJ42)
+:::
+
+You and your group will evaluate a data package for its: (1) metadata
+quality, (2) data documentation quality for reproducibility, and (3)
+FAIRness and CAREness.
+
 ::: callout-note
 ### Exercise: Evaluate a data package on the ADC Data Portal
 

materials/session_03.qmd

@@ -1,8 +1,8 @@
 ---
-title: "Submitting to the Arctic Data Center"
+title: "Documenting and Publishing Data"
 title-block-banner: true
 execute: 
   eval: true
 ---
 
-{{< include /sections/metadata-adc-data-documentation-hands-on.qmd >}}
+{{< include /sections/metadata-adc-data-documentation-hands-on.qmd >}}