DataLad extension for raw data capturing and conversion workflows
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This extension enhances DataLad (http://datalad.org) with support for (semi-)automated, reproducible processing of (medical/neuro)imaging data. Please see the [extension documentation](http://datalad-hirni.rtfd.org) for a description on additional commands and functionality.
Before you install this package, please make sure that you [install a recent version of git-annex](https://git-annex.branchable.com/install). Afterwards, install the latest version of datalad-hirni from [PyPi](https://pypi.org/project/datalad-hirni). It is recommended to use a dedicated [virtualenv](https://virtualenv.pypa.io):
# 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](https://neurostars.org/tags/datalad) 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.
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