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Hirni
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
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/
DataLad development is supported by a US-German collaboration in computational neuroscience (CRCNS) project "DataGit: converging catalogues, warehouses, and deployment logistics into a federated 'data distribution'" (Halchenko/Hanke), co-funded by the US National Science Foundation (NSF 1429999) and the German Federal Ministry of Education and Research (BMBF 01GQ1411). Additional support is provided by the German federal state of Saxony-Anhalt and the European Regional Development Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging Platform.