DataLad

Data Management
for Open & reproducible Science

Dr. Adina Wagner mas.to@adswa
Institute of Neuroscience and Medicine, Brain & Behavior (INM-7) Research Center Jülich ReproNim/INCF fellow

Domain-agnostic command-line tool (+ graphical user interface), built on top of Git & Git-annex
10+ year open source project (100+ contributors), available for all major OS
Major features:

Version-controlling arbitrarily large content

Version control data & software alongside to code!

Transport mechanisms for sharing, updating & obtaining data

Consume & collaborate on data (analyses) like software

(Computationally) reproducible data analysis

Track and share provenance of all digital objects

(... and much more)

Behind-the-scenes infrastructure component for data transport and versioning (e.g., used by OpenNeuro, brainlife.io , the Canadian Open Neuroscience Platform (CONP), CBRAIN)

Publish or consume datasets via GitHub, GitLab, OSF, the European Open Science Cloud, or similar services

Creating and sharing reproducible, open science: Sharing data, software, code, and provenance

Creating and sharing reproducible, open science: Sharing data, software, code, and provenance

Reach out to to the DataLad team via

Matrix (free, decentralized communication app, no app needed). We run a weekly Zoom office hour (Tuesday, 4pm Berlin time) from this room as well.
the development repository on GitHub (github.com/datalad/datalad)

Reach out to the user community with