Package: datalad
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                                              Read meDistribution10000-ft. overviewDataLad makes data management and data distribution more accessible.
To do that, it stands on the shoulders ofGitandGit-annexto deliver a
decentralized system for data exchange. This includes automated ingestion of
data from online portals and exposing it in readily usable form as Git(-annex)
repositories, so-called datasets. The actual data storage and permission
management, however, remains with the original data providers.The full documentation is available athttp://docs.datalad.organdhttp://handbook.datalad.orgprovides a hands-on crash-course on DataLad.ExtensionsA number of extensions are available that provide additional functionality for
DataLad. Extensions are separate packages that are to be installed in addition
to DataLad. In order to install DataLad customized for a particular domain, one
can simply install an extension directly, and DataLad itself will be
automatically installed with it. Anannotated list of
extensionsis available in
theDataLad handbook.SupportThe documentation for this project is found here:http://docs.datalad.orgAll bugs, concerns, and enhancement requests for this software can be submitted here:https://github.com/datalad/datalad/issuesIf you have a problem or would like to ask a question about how to use DataLad,
pleasesubmit a question to
NeuroStars.orgwith adataladtag.  NeuroStars.org is a platform similar to StackOverflow
but dedicated to neuroinformatics.All previous DataLad questions are available here:http://neurostars.org/tags/datalad/InstallationDebian-based systemsOn Debian-based systems, we recommend enablingNeuroDebian, via which we
provide recent releases of DataLad. Once enabled, just do:apt-get install dataladGentoo-based systemsOn Gentoo-based systems (i.e. all systems whose package manager can parse ebuilds as per thePackage Manager Specification), we recommendenabling the ::science overlay, via which we
provide recent releases of DataLad. Once enabled, just run:emerge dataladOther Linux'es via condaconda install -c conda-forge dataladwill install the most recently released version, and release candidates are
available viaconda install -c conda-forge/label/rc dataladOther Linux'es, macOS via pipBefore you install this package, please make sure that youinstall a recent
version of git-annex.  Afterwards,
install the latest version ofdataladfromPyPI. It is recommended to use
a dedicatedvirtualenv:# Create and enter a new virtual environment (optional)
virtualenv --python=python3 ~/env/datalad
. ~/env/datalad/bin/activate

# Install from PyPI
pip install dataladBy default, installation via pip installs the core functionality of DataLad,
allowing for managing datasets etc.  Additional installation schemes
are available, so you can request enhanced installation viapip install datalad[SCHEME], whereSCHEMEcould be:teststo also install dependencies used by DataLad's battery of unit testsfullto install all dependencies.More details on installation and initial configuration can be found in theDataLad Handbook: Installation.LicenseMIT/ExpatContributingSeeCONTRIBUTING.mdif you are interested in internals or
contributing to the project.AcknowledgementsThe DataLad project received support through the following grants: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).CRCNS US-German Data Sharing "DataLad - a decentralized system for integrated
discovery, management, and publication of digital objects of science"
(Halchenko/Pestilli/Hanke), co-funded by the US National Science Foundation
(NSF 1912266) and the German Federal Ministry of Education and Research
(BMBF 01GQ1905).Helmholtz Research Center Jülich, FDM challenge 2022German federal state of Saxony-Anhalt and the European Regional Development
Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging PlatformReproNim project (NIH 1P41EB019936-01A1).Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant
SFB 1451 (431549029,
INF project)European Union’s Horizon 2020 research and innovation programme under grant
agreements:Human Brain Project SGA3 (H2020-EU.3.1.5.3, grant no. 945539)VirtualBrainCloud (H2020-EU.3.1.5.3, grant no. 826421)Mac mini instance for development is provided byMacStadium.Contributors ✨Thanks goes to these wonderful people (emoji key):glalteva💻adswa💻chrhaeusler💻soichih💻mvdoc💻mih💻yarikoptic💻loj💻feilong💻jhpoelen💻andycon💻nicholsn💻adelavega💻kskyten💻TheChymera💻effigies💻jgors💻debanjum💻nellh💻emdupre💻aqw💻vsoch💻kyleam💻driusan💻overlake333💻akeshavan💻jwodder💻bpoldrack💻yetanothertestuser💻Christian Mönch💻Matt Cieslak💻Mika Pflüger💻Robin Schneider💻Sin Kim💻Michael Burgardt💻Remi Gau💻Michał Szczepanik💻Basile💻Taylor Olson💻James Kent💻xgui3783💻tstoeter💻Stephan Heunis💻Matt McCormick💻Vicky C Lau💻Chris Lamb💻Austin Macdonald💻Yann Büchau💻Matthias Riße💻Aksoo💻