CKAN plugin to allow users with 'member' role within an organization to create/edit/delete their own datasets
by U.K. Natural History Museum


Travis Coveralls CKAN Python

A CKAN extension that allows organisation members to create datasets, and edit or delete the datasets they have created.


This extension changes the permissions of users with the ‘Member’ role in an organisation, allowing them to create datasets, and to edit or delete the datasets they have created. Unlike users with the ‘Editor’ role, they cannot edit or delete datasets created by other users.


  • This applies to the existing ‘Member’ role rather than creating a new one as it is currently not possible to add new roles from an extension;
  • The plugin works with custom dataset types, however it will not work with other plugins which override package/resource update/create/delete authorization functions, and package_create/update actions.

Warning: This plugin modifies CKAN’s permission system. The current implementation cannot be considered fully safe and should only be used AT YOUR OWN RISK in a trusted environment. Ensure you run the tests with your plugins enabled.


Path variables used below:

  • $INSTALL_FOLDER (i.e. where CKAN is installed), e.g. /usr/lib/ckan/default
  • $CONFIG_FILE, e.g. /etc/ckan/default/development.ini
  1. Clone the repository into the src folder:
git clone
  1. Activate the virtual env:
. $INSTALL_FOLDER/bin/activate
  1. Install the requirements from requirements.txt:
cd $INSTALL_FOLDER/src/ckanext-userdatasets
pip install -r requirements.txt
  1. Run
cd $INSTALL_FOLDER/src/ckanext-userdatasets
python develop
  1. Add ‘userdatasets’ to the list of plugins in your $CONFIG_FILE:
ckan.plugins = ... userdatasets


There are no configuration options for this extension.



No new actions are defined in this extension; three are overridden to modify validators and permissions.





Test coverage is currently extremely limited.

To run the tests in this extension, there is a Docker compose configuration available in this repository to make it easy.

To run the tests against ckan 2.9.x on Python3:

  1. Build the required images
docker-compose build
  1. Then run the tests. The root of the repository is mounted into the ckan container as a volume by the Docker compose configuration, so you should only need to rebuild the ckan image if you change the extension’s dependencies.
docker-compose run ckan

The ckan image uses the Dockerfile in the docker/ folder which is based on openknowledge/ckan-dev:2.9.

Note that currently the tests mock the Datacite API and therefore don’t require an internet connection nor your Datacite credentials to run.

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