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        "description": "____            _             _                   _ \n    |  _ \\    __ _  | |_    __ _  | |       __ _    __| |\n    | | | |  / _` | | __|  / _` | | |      / _` |  / _` |\n    | |_| | | (_| | | |_  | (_| | | |___  | (_| | | (_| |\n    |____/   \\__,_|  \\__|  \\__,_| |_____|  \\__,_|  \\__,_|\n                                                  Read me\n\n[![Travis tests status](https://secure.travis-ci.org/datalad/datalad.png?branch=master)](https://travis-ci.org/datalad/datalad) [![Build status](https://ci.appveyor.com/api/projects/status/github/datalad/datalad?branch=master&svg=true)](https://ci.appveyor.com/project/mih/datalad/branch/master) [![codecov.io](https://codecov.io/github/datalad/datalad/coverage.svg?branch=master)](https://codecov.io/github/datalad/datalad?branch=master) [![Documentation](https://readthedocs.org/projects/datalad/badge/?version=latest)](http://datalad.rtfd.org) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![GitHub release](https://img.shields.io/github/release/datalad/datalad.svg)](https://GitHub.com/datalad/datalad/releases/) [![PyPI version fury.io](https://badge.fury.io/py/datalad.svg)](https://pypi.python.org/pypi/datalad/) [![Testimonials 4](https://img.shields.io/badge/testimonials-4-brightgreen.svg)](https://github.com/datalad/datalad/wiki/Testimonials) [![https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg](https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg)](https://singularity-hub.org/collections/667)\n\n# 10000ft overview\n\nDataLad makes data management and data distribution more accessible.\nTo do that, it stands on the shoulders of [Git] and [Git-annex] to deliver a\ndecentralized system for data exchange. This includes automated ingestion of\ndata from online portals and exposing it in readily usable form as Git(-annex)\nrepositories, so-called datasets. The actual data storage and permission\nmanagement, however, remains with the original data providers.\n\nThe full documentation is available at: http://docs.datalad.org\n\n# Extensions\n\nA number of extensions are available that provide additional functionality for\nDataLad. Extensions are separate packages that are to be installed in addition\nto DataLad. In order to install DataLad customized for a particular domain, one\ncan simply install an extension directly, and DataLad itself will be\nautomatically installed with it. Here is a list of known extensions:\n\n- [crawler](https://github.com/datalad/datalad-crawler) -- tracking web resources and automated data distributions [![crawler release](https://img.shields.io/github/release/datalad/datalad-crawler.svg)](https://GitHub.com/datalad/datalad-crawler/releases/)\n- [neuroimaging](https://github.com/datalad/datalad-neuroimaging) -- neuroimaging research data and workflows [![neuroimaging release](https://img.shields.io/github/release/datalad/datalad-neuroimaging.svg)](https://GitHub.com/datalad/datalad-neuroimaging/releases/)\n- [container](https://github.com/datalad/datalad-container) -- support for containerized computational environments [![container release](https://img.shields.io/github/release/datalad/datalad-container.svg)](https://GitHub.com/datalad/datalad-container/releases/)\n\n- [webapp](https://github.com/datalad/datalad-webapp) -- support for exposing selected DataLad API as REST API webapp [tech demo]\n\n\n# Support\n\nThe documentation of this project is found here:\nhttp://docs.datalad.org\n\nAll bugs, concerns and enhancement requests for this software can be submitted here:\nhttps://github.com/datalad/datalad/issues\n\nIf you have a problem or would like to ask a question about how to use DataLad,\nplease [submit a question to\nNeuroStars.org](https://neurostars.org/new-topic?body=-%20Please%20describe%20the%20problem.%0A-%20What%20steps%20will%20reproduce%20the%20problem%3F%0A-%20What%20version%20of%20DataLad%20are%20you%20using%20%28run%20%60datalad%20--version%60%29%3F%20On%20what%20operating%20system%20%28consider%20running%20%60datalad%20plugin%20wtf%60%29%3F%0A-%20Please%20provide%20any%20additional%20information%20below.%0A-%20Have%20you%20had%20any%20luck%20using%20DataLad%20before%3F%20%28Sometimes%20we%20get%20tired%20of%20reading%20bug%20reports%20all%20day%20and%20a%20lil'%20positive%20end%20note%20does%20wonders%29&tags=datalad)\nwith a ``datalad`` tag.  NeuroStars.org is a platform similar to StackOverflow\nbut dedicated to neuroinformatics.\n\nAll previous DataLad questions are available here:\nhttp://neurostars.org/tags/datalad/\n\n\n# Installation\n\n## Debian-based systems\n\nOn Debian-based systems, we recommend to enable [NeuroDebian] from which we\nprovide recent releases of DataLad. Once enabled, just do:\n\n    apt-get install datalad\n\n## Other Linux'es via conda\n\n    conda install -c conda-forge datalad\n\n## Other Linux'es, OSX via pip\n\nBefore you install this package, please make sure that you [install a recent\nversion of git-annex](https://git-annex.branchable.com/install).  Afterwards,\ninstall the latest version of `datalad` from\n[PyPi](https://pypi.org/project/datalad). It is recommended to use\na dedicated [virtualenv](https://virtualenv.pypa.io):\n\n    # create and enter a new virtual environment (optional)\n    virtualenv --python=python3 ~/env/datalad\n    . ~/env/datalad/bin/activate\n\n    # install from PyPi\n    pip install datalad\n\nBy default, installation via pip installs core functionality of datalad\nallowing for managing datasets etc.  Additional installation schemes\nare available, so you could provide enhanced installation via\n`pip install datalad[SCHEME]` where `SCHEME` could be\n\n- `tests`\n     to also install dependencies used by unit-tests battery of the datalad\n- `full`\n     to install all dependencies.\n\nThere is also a [Singularity container](http://singularity.lbl.gov) available.\nThe latest release version can be obtained by running:\n\n    singularity pull shub://datalad/datalad\n\n\n# License\n\nMIT/Expat\n\n\n# Contributing\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) if you are interested in internals or\ncontributing to the project.\n\n\n## Acknowledgements\n\nDataLad development is supported by a US-German collaboration in computational\nneuroscience (CRCNS) project \"DataGit: converging catalogues, warehouses, and\ndeployment logistics into a federated 'data distribution'\" (Halchenko/Hanke),\nco-funded by the US National Science Foundation (NSF 1429999) and the German\nFederal Ministry of Education and Research (BMBF 01GQ1411). Additional support\nis provided by the German federal state of Saxony-Anhalt and the European\nRegional Development Fund (ERDF), Project: Center for Behavioral Brain\nSciences, Imaging Platform.  This work is further facilitated by the ReproNim\nproject (NIH 1P41EB019936-01A1).\n\n\n[Git]: https://git-scm.com\n[Git-annex]: http://git-annex.branchable.com\n[setup.py]: https://github.com/datalad/datalad/blob/master/setup.py\n[NeuroDebian]: http://neuro.debian.net",
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