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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.
The best of both worlds: Using semantic web with JSOB-LD. An example with NIDM Results & DataLad [poster]
- Camille Maumet, Satrajit Ghosh, Yaroslav O. Halchenko, Dorota Jarecka, Nolan Nichols, Jean-Baptist POline, Michael Hanke
One thing to bind them all: A complete raw data structure for auto-generation of BIDS datasets [poster]
- Benjamin Poldrack, Kyle Meyer, Yaroslav O. Halchenko, Michael Hanke
Fantastic containers and how to tame them [poster]
- Yaroslav O. Halchenko, Kyle Meyer, Matt Travers, Dorota Jarecka, Satrajit Ghosh, Jakub Kaczmarzyk, Michael Hanke
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)
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>`__)
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