DataLad aims to deliver a data distribution. Original motive was to provide a platform for harvesting data from online portals and exposing collected data in a readily-usable form from Git-annex repositories, while fetching data load from the original data providers.

It is currently in a "prototype" state, i.e. a mess. Codebase is rapidly growing, functionality is usable for many use-cases but not yet officially released to public since its organization and configuration will be a subject for a considerable reorganization and standardization. Primary purpose of the development is to catch major use-cases and try to address them to get a better understanding of the ultimate specs and design.

See CONTRIBUTING.md if you are interested in internals and/or contributing to the project.

• travis-ci.org (master branch)

• 

On Debian-based systems we recommend to enable NeuroDebian since we use it to provide backports of recent fixed external modules we depend upon:

apt-get install patool python-bs4 python-git python-joblib git-annex-standalone

or otherwise you can use pip to install Python modules

pip install -r requirements.txt

and will need to install recent git-annex using appropriate for your OS means. We later will provide bundled installations of DataLad across popular platforms.

MIT/Expat

It is in a prototype stage -- nothing is set in stone yet -- but already usable in a limited scope.