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Publications | ||
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Further conceptual and technical information on DataLad, and applications built on DataLad, | ||
are available from the publications listed below. | ||
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YODA: YODA's Organigram on Data Analysis [poster] | ||
- An outline of a simple approach to structuring and conducting data analyses that aims to | ||
tightly connect all their essential ingredients: data, code, and computational environments | ||
in a transparent, modular, accountable, and practical way. | ||
- Michael Hanke, Kyle A. Meyer, Matteo Visconti di Oleggio Castello, Benjamin Poldrack, Yaroslav O. Halchenko | ||
- F1000Research 2018, 7:1965 (https://doi.org/10.7490/f1000research.1116363.1) | ||
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Go FAIR with DataLad [talk] | ||
- On DataLad's capabilities to create and maintain Findable, Accessible, Interoperable, and Re-Usable (FAIR) | ||
resources. | ||
- Michael Hanke, Yaroslav O. Halchenko | ||
- Bernstein Conference 2018 workshop: Practical approaches to research data management and reproducibility | ||
(`slides <https://rawgit.com/psychoinformatics-de/talk-datalad-gofair/master/index.html>`__) | ||
- OpenNeuro kick-off meeting, 2018, Stanford (`slide sources <https://github.com/datalad/talk-openneuro-2018>`__) |