Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging


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Submitted by sbollmann

June 11, 2024, 3:03 p.m.

Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging

Angela I. Renton, Thuy T. Dao, Tom Johnstone, Oren Civier, Ryan P. Sullivan, David J. White, Paris Lyons, Benjamin M. Slade, David F. Abbott, Toluwani J. Amos, Saskia Bollmann, Andy Botting, Megan E. J. Campbell, Jeryn Chang, Thomas G. Close, Monika Dörig, Korbinian Eckstein, Gary F. Egan, Stefanie Evas, Guillaume Flandin, Kelly G. Garner, Marta I. Garrido, Satrajit S. Ghosh, Martin Grignard, Yaroslav O. Halchenko, Anthony J. Hannan, Anibal S. Heinsfeld, Laurentius Huber, Matthew E. Hughes, Jakub R. Kaczmarzyk, Lars Kasper, Levin Kuhlmann, Kexin Lou, Yorguin-Jose Mantilla-Ramos, Jason B. Mattingley, Michael L. Meier, Jo Morris, Akshaiy Narayanan, Franco Pestilli, Aina Puce, Fernanda L. Ribeiro, Nigel C. Rogasch, Chris Rorden, Mark M. Schira, Thomas B. Shaw, Paul F. Sowman, Gershon Spitz, Ashley W. Stewart, Xincheng Ye, Judy D. Zhu, Aswin Narayanan & Steffen Bollmann
Renton, A.I., Dao, T.T., Johnstone, T. et al. Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging. Nat Methods 21, 804–808 (2024). https://doi.org/10.1038/s41592-023-02145-x
DOI:  https://doi.org/10.1038/s41592-023-02145-x        


  Mean reproducibility score:   2.5/10   |   Number of reviews:   2

Brief Description
Neurodesk is a flexible, scalable, and browser-based data analysis environment for reproducible neuroimaging. It provides a platform for neuroimaging researchers to access powerful tools and resources in a user-friendly interface. With Neurodesk, researchers can perform complex data analysis tasks with ease, while ensuring the reproducibility of their results.
Why should we reproduce your paper?
We invested a lot of work to make the analyses from the paper reproducible and we are very curious how the documentation could be improved and if people run into any problems.
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  Paper URL: https://rdcu.be/dKvGL

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