Slides for a DataLad overview talk at OpenNeuro meetup (2018)
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README.md

DataLad

Talk on DataLad's data management capabilities, how it aids open science efforts and helps achieve improved reproducibility in a FAIR way. Heavily based on the Bernstein Go Fair talk by Michael Hanke. Presented at the OpenNeuro kick-off meeting, Stanford, 2018 by Yaroslav O. Halchenko.

URLs in the slides ATM are tuned for offline presentation.

License

All content is released under the Creative Commons license CC BY-SA 4.0: https://creativecommons.org/licenses/by-sa/4.0/

Acknowledgements

The work presented in this talk was supported by a 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). Additional support was provided by the German federal state of Saxony-Anhalt and the European Regional Development Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging Platform. This work was further facilitated by the ReproNim project (NIH 1P41EB019936-01A1).