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Datalad — data management and distribution suite: Documentation — datalad 0.1 documentation

Related efforts and solutions. Data management use cases. Automatic creation and maintenance of datasets by crawling external resources. Datalad data management and distribution suite: Documentation. Datalad data management and distribution suite: Documentation. Related efforts and solutions. Brain Imaging Data Structure (BIDS). JSON-LD meta data format. Data management use cases. A typical data management workflow. Command line interface infrastructure. Provided by Read the Docs. On Read the Docs.

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Datalad — data management and distribution suite: Documentation — datalad 0.1 documentation | docs.datalad.org Reviews

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Related efforts and solutions. Data management use cases. Automatic creation and maintenance of datasets by crawling external resources. Datalad data management and distribution suite: Documentation. Datalad data management and distribution suite: Documentation. Related efforts and solutions. Brain Imaging Data Structure (BIDS). JSON-LD meta data format. Data management use cases. A typical data management workflow. Command line interface infrastructure. Provided by Read the Docs. On Read the Docs.

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3 getting started

4 acknowledgments

5 background and motivation

6 meta data

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8 frequently asked questions

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10 basic principles

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Datalad — data management and distribution suite: Documentation — datalad 0.1 documentation | docs.datalad.org Reviews

https://docs.datalad.org

Related efforts and solutions. Data management use cases. Automatic creation and maintenance of datasets by crawling external resources. Datalad data management and distribution suite: Documentation. Datalad data management and distribution suite: Documentation. Related efforts and solutions. Brain Imaging Data Structure (BIDS). JSON-LD meta data format. Data management use cases. A typical data management workflow. Command line interface infrastructure. Provided by Read the Docs. On Read the Docs.

INTERNAL PAGES

docs.datalad.org

1

Python module reference — datalad 0.1 documentation

http://docs.datalad.org/en/latest/modref.html

Related efforts and solutions. Data management use cases. Datalad.tests.utils testrepos. Command line interface infrastructure. Datalad.cmdline.common args. Automatic creation and maintenance of datasets by crawling external resources. This module reference extends the manual with a comprehensive overview of the available functionality built into datalad. Each module in the package is documented by a general summary of its purpose and the list of classes and functions it provides. On Read the Docs.

2

Datalad — data management and distribution suite: Documentation — datalad 0.1 documentation

http://docs.datalad.org/en/stable

Related efforts and solutions. Data management use cases. Automatic creation and maintenance of datasets by crawling external resources. Datalad data management and distribution suite: Documentation. Datalad data management and distribution suite: Documentation. Related efforts and solutions. Brain Imaging Data Structure (BIDS). JSON-LD meta data format. Data management use cases. A typical data management workflow. Command line interface infrastructure. Provided by Read the Docs. On Read the Docs.

3

Basic principles — datalad 0.1 documentation

http://docs.datalad.org/en/latest/basics.html

Related efforts and solutions. Data management use cases. Automatic creation and maintenance of datasets by crawling external resources. DataLad was designed so it could be used both as a command-line tool, and as a Python module. Sections following this one ( Command line reference. And Python module reference. DataLad “distribution” is just a superdataset. Which organizes multiple dataset. 8216;s using standard git mechanism of sub-modules. Primarily operates and reports at the level of datasets. Datas...

4

Automatic creation and maintenance of datasets by crawling external resources — datalad 0.1 documentation

http://docs.datalad.org/en/latest/crawler/index.html

Related efforts and solutions. Data management use cases. Automatic creation and maintenance of datasets by crawling external resources. Automatic creation and maintenance of datasets by crawling external resources. Automatic creation and maintenance of datasets by crawling external resources. Provided by Read the Docs. On Read the Docs. Free document hosting provided by Read the Docs.

5

Acknowledgments — datalad 0.1 documentation

http://docs.datalad.org/en/latest/acknowledgements.html

Related efforts and solutions. Data management use cases. Automatic creation and maintenance of datasets by crawling external resources. Datalad development is being performed as part of a US-German collaboration in computational neuroscience (CRCNS) project “DataGit: converging catalogues, warehouses, and deployment logistics into a federated ‘data distribution’” ( Halchenko. Co-funded by the US National Science Foundation ( NSF 1429999. Datalad is built atop the git-annex. Provided by Read the Docs.

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datalad.org

Articles - DataLad

http://datalad.org/category/articles.html

Git-annex-centric benchmark of the filesystems. For the DataLad project we will establish a large number of git-annex repositories. Majority of those git-annex repositories will not contain any data, but rather a lot of empty files and/or broken symlinks. Some data sharing projects which we are going to cover contain thousands and even . Mon 06 July 2015. Bits from DataLad #1. Summary report of recent activities. Sat 11 October 2014. Tue 16 September 2014. Working with big data without losing track.

datalad.org

About this Project - DataLad

http://datalad.org/pages/about.html

This project aims to adapt the model of open-source software (OSS) distributions to address the technical limitations of today's data-sharing and develop all components of a data distribution. The key concepts are: 1) Leverage - but do not replace - independent, existing, and future data hosting solutions to form a federated platform for data-sharing. 2) Employ software for data tracking and deployment logistics specialized for large data ( git-annex. Data sharing portals such as http:/ openfmri.org.

datalad.org

Working with big data without losing track - DataLad

http://datalad.org/gitannex_based_access.html

Working with big data without losing track. Mon 16 June 2014. Borrowed from the http:/ studyforrest.org. As a good use-case for demonstrating reasoning for use of git-annex by data providers. You can already fetch entire studyforrest dataset using git-annex directly. Here is e.g. a sample list of command to fetch all extracted into CSV timeseries:. Git clone http:/ psydata.ovgu.de/forrest gump/.git studyforrest cd studyforrest git annex get sub*/BOLD/task001 run*/*timeseries*.csv.gz. Thrown over the wall.

datalad.org

Bits from DataLad #1 - DataLad

http://datalad.org/bits_1.html

Bits from DataLad #1. Sat 11 October 2014. Etc We hope you will get to like the name, and we will come up with a beautiful project logo soonish. Meanwhile enjoy a functional colorful qrcode you might find associated with DataLad on those pages. Obtained integration with Travis-CI and coveralls.io. Apparently we are at 85% coverage of the codebase, not bad at all for starters. So you are welcome to submit pull requests without a fear of breaking our. A very important part of this project is also to identi...

datalad.org

Archives - DataLad

http://datalad.org/archives.html

Mon 06 July 2015. Git-annex-centric benchmark of the filesystems. Sat 11 October 2014. Bits from DataLad #1. Tue 16 September 2014. Mon 16 June 2014. Working with big data without losing track. 2015 DataLad Team · Powered by pelican-bootstrap3. Content licensed under a Creative Commons Attribution 4.0 International License. Except where indicated otherwise.

datalad.org

bits - DataLad

http://datalad.org/tag/bits.html

Bits from DataLad #1. Summary report of recent activities. Sat 11 October 2014. 2014 DataLad Team · Powered by pelican-bootstrap3. Content licensed under a Creative Commons Attribution 4.0 International License. Except where indicated otherwise.

datalad.org

git-annex-centric benchmark of the filesystems - DataLad

http://datalad.org/test_fs_analysis.html

Git-annex-centric benchmark of the filesystems. Mon 06 July 2015. On computational clusters we administer/use. Its volume management, data integrity checking, and various features (snapshotting, etc) are very appealing and served us well before. So ZFS was a logical choice to deploy for our DataLad development/storage server(s). But unfortunately, during development we ran into complete system stalls (which thanks to ZoL developers were promptly resolved), and overall very. ZoL/ZFS module: 0.6.4-...BTRFS...

datalad.org

development - DataLad

http://datalad.org/tag/development.html

Git-annex-centric benchmark of the filesystems. For the DataLad project we will establish a large number of git-annex repositories. Majority of those git-annex repositories will not contain any data, but rather a lot of empty files and/or broken symlinks. Some data sharing projects which we are going to cover contain thousands and even . Mon 06 July 2015. Bits from DataLad #1. Summary report of recent activities. Sat 11 October 2014. Tue 16 September 2014. Except where indicated otherwise.

datalad.org

Articles by Yaroslav Halchenko - DataLad

http://datalad.org/author/yaroslav-halchenko.html

Git-annex-centric benchmark of the filesystems. For the DataLad project we will establish a large number of git-annex repositories. Majority of those git-annex repositories will not contain any data, but rather a lot of empty files and/or broken symlinks. Some data sharing projects which we are going to cover contain thousands and even . Mon 06 July 2015. Bits from DataLad #1. Summary report of recent activities. Sat 11 October 2014. Tue 16 September 2014. Except where indicated otherwise.

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Datalad — data management and distribution suite: Documentation — datalad 0.1 documentation

Related efforts and solutions. Data management use cases. Automatic creation and maintenance of datasets by crawling external resources. Datalad data management and distribution suite: Documentation. Datalad data management and distribution suite: Documentation. Related efforts and solutions. Brain Imaging Data Structure (BIDS). JSON-LD meta data format. Data management use cases. A typical data management workflow. Command line interface infrastructure. Provided by Read the Docs. On Read the Docs.

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