ckanext-datasetapproval

An extension which provides a feature to approve or reject a dataset before making it public.

Installation

To install ckanext-datasetapproval:

Note: if you're using ckanext_scheming extension, add new field to the schema configuration YAML file.

- field_name: publishing_status<br>
          label: Publishing Status<br>
          form_snippet: null<br>
          display_snippet: null<br>
          validators: ignore_missing publishing_status_validator

<br>- field_name       : chosen_visibility<br>
          label            : Visibility<br>
          form_snippet     : visibility.html<br>
          display_snippet  : null<br>
          validators       : ignore_empty unicode_safe<br>
          default          : true<br>

1. Activate your CKAN virtual environment, for example:

   . /usr/lib/ckan/default/bin/activate

2. Clone the source and install it on the virtualenv

   git clone https://github.com//ckanext-datasetapproval.git cd ckanext-datasetapproval pip install -e . pip install -r requirements.txt

3. Add dataset_approval to the ckan.plugins setting in your CKAN config file (by default the config file is located at /etc/ckan/default/ckan.ini).

4. Restart CKAN. For example if you've deployed CKAN with Apache on Ubuntu:

   sudo service apache2 reload

Approval Flow for Dataset

1. All publisher users can save datasets as drafts for later editing, while creating/updating datasets without publishing it to the public.

2. Users with editor role in organization can create a dataset and submit it for approval Editors user get this message

Submit for approval by clicking finish button.

3. Organization admin receives the email notification when dataset is submitted for approval. Example:

4. Users with admin role in organization can reivew with approving or rejecting the dataset.

5. If dataset is approved by admin, it will be published and visible to all users.

6. If dataset is rejected, it will be visible to only editor and syasadmin users.

5. If dataset is rejected, editor can edit the dataset and submit it for approval again.

License

AGPL