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.
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 here. For diving right into usage have a look at the examples, especially at the study dataset demo for a start.