This extension enhances DataLad (http://datalad.org) with support for (semi-)automated, reproducible processing of (medical/neuro)imaging data. Please see the extension documentation for a description on additional commands and functionality.
For general information on how to use or contribute to DataLad (and this extension), please see the DataLad website or the main GitHub project page.
Before you install this package, please make sure that you install a recent
version of git-annex. Afterwards,
install the latest version of datalad-hirni from
PyPi. It is recommended to use
a dedicated virtualenv:
# create and enter a new virtual environment (optional)
virtualenv --system-site-packages --python=python3 ~/env/datalad
. ~/env/datalad/bin/activate
# install from PyPi
pip install datalad_hirni
# alternative: install the latest development version from GitHub
pip install git+https://github.com/psychoinformatics-de/datalad-hirni.git#egg=datalad_hirni
The documentation of this project is found here:
http://docs.datalad.org/projects/hirni
The documentation is built from this very repository's files under docs/source and thus you can contribute to the
docs by opening a pull request just like you'd contribute to the code itself.
All bugs, concerns and enhancement requests for this software can be submitted here: https://github.com/psychoinformatics-de/datalad-hirni/issues
If you have a problem or would like to ask a question about how to use DataLad,
please submit a question to
NeuroStars.org with a datalad tag.
NeuroStars.org is a platform similar to StackOverflow but dedicated to
neuroinformatics.
All previous DataLad questions are available here: http://neurostars.org/tags/datalad/
The initial development of this extension was funded by the German federal state of Saxony-Anhalt and the European Regional Development Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging Platform. Continued development is supported by the German Federal Ministry of Education and Research (BMBF 01GQ1905).