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Introduction

What is datalad-hirni?

Datalad-hirni aims to provide the means to enable automated provenance capturing of a (neuroimaging) study as well as automated, metadata-driven conversion. In a way datalad-hirni is two things. A conceptional idea on how to bind and structure all (raw) data, metadata, code and computational environments of a study and a software package to support the consequential workflow to achieve that. On the software side, datalad-hirni is a python package and an extension to Datalad.

Note

Technically, datalad-hirni (and its approach in general) isn't limited to neuroimaging. In a different context there's just less convenience provided by the default routines ATM.

Is it free and open source?

Yes, of course. Feel free to contribute and complain on Github.

Where do I get it?

As a python package, you can install datalad-hirni via pip:

pip install datalad-hirni

What now?

If you want to get a grasp on how it works, you should start :ref:`here <chap_concepts>`. For diving right into usage have a look at the :ref:`examples <chap_demos>`, especially at the :ref:`study dataset demo <chap_demos_study>` for a start.

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