https://github.com/datalad/datalad-xnat

Track XNAT projects with DataLad
https://github.com/datalad/datalad-xnat

closember datalad

Last synced: 2 months ago
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Track XNAT projects with DataLad

• Host: GitHub
• URL: https://github.com/datalad/datalad-xnat
• Owner: datalad
• License: other
• Created: 2020-04-02T07:12:52.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2026-03-16T21:45:47.000Z (3 months ago)
• Last Synced: 2026-03-28T00:58:07.341Z (2 months ago)
• Topics: closember, datalad
• Language: Python
• Homepage:
• Size: 501 KB
• Stars: 4
• Watchers: 8
• Forks: 8
• Open Issues: 15
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff

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README

          
# DataLad extension tracking data in an XNAT server

[![All Contributors](https://img.shields.io/badge/all_contributors-12-orange.svg?style=flat-square)](#contributors-)

[![GitHub release](https://img.shields.io/github/release/datalad/datalad-xnat.svg)](https://GitHub.com/datalad/datalad-xnat/releases/) [![PyPI version fury.io](https://badge.fury.io/py/datalad-xnat.svg)](https://pypi.python.org/pypi/datalad-xnat/) [![Build status](https://ci.appveyor.com/api/projects/status/7pug8bjjgdcvsfn7/branch/master?svg=true)](https://ci.appveyor.com/project/mih/datalad-xnat/branch/master) [![codecov.io](https://codecov.io/github/datalad/datalad-xnat/coverage.svg?branch=master)](https://codecov.io/github/datalad/datalad-xnat?branch=master) [![crippled-filesystems](https://github.com/datalad/datalad-xnat/workflows/crippled-filesystems/badge.svg)](https://github.com/datalad/datalad-xnat/actions?query=workflow%3Acrippled-filesystems)

[![Documentation Status](https://readthedocs.org/projects/datalad-xnat/badge/?version=latest)](http://docs.datalad.org/projects/datalad-xnat/en/latest/?badge=latest)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5541844.svg)](https://doi.org/10.5281/zenodo.5541844)

This software is a [DataLad](http://datalad.org) extension that equips DataLad

with a set of commands to track XNAT projects.

XNAT is an open source imaging informatics platform developed by the

Neuroinformatics Research Group at Washington University. It facilitates common

management, productivity, and quality assurance tasks for imaging and

associated data. XNAT can be used to support a wide range of neuro/medical

imaging-based projects.

Command(s) provided by this extension

- `xnat-init` -- Initialize an existing dataset to track an XNAT project

- `xnat-update` -- Update an existing dataset of an XNAT project; retrieve data from the tracked project

- `xnat-query-files` -- Query available files on an XNAT instance or project

## Installation

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-xnat` from

[PyPi](https://pypi.org/project/datalad-xnat). 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_xnat

## Support

For general information on how to use or contribute to DataLad (and this

extension), please see the [DataLad website](http://datalad.org) or the

[main GitHub project page](http://datalad.org).

All bugs, concerns and enhancement requests for this software can be submitted here:

https://github.com/datalad/datalad-xnat/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/

## Acknowledgements

This development was supported by European Union’s Horizon 2020 research and

innovation programme under grant agreement [VirtualBrainCloud

(H2020-EU.3.1.5.3, grant no.

826421)](https://cordis.europa.eu/project/id/826421).

## Contributors ✨

Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):

  

    

      
Michael Hanke
💻 🐛 📖 🤔 🚧

      
Laura Waite
💻 🐛 🤔 🚧

      
Adina Wagner
💻 🐛 📖 🤔 🚧

      
John T. Wodder II
💻 🤔 🚧

      
Yaroslav Halchenko
💻

      
Janvi Raina
📖

      
Stephan Heunis
🚇 🎨 🧑‍🏫

    

    

      
tsankeuodelfa
📖

      
Michał Szczepanik
📖 💻

      
Benjamin Poldrack
💻

      
Alex Waite
💬 📖 ✅

      
oportoles
📓 📖 🐛 ✅

    

  

This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!