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The Canadian Open Neuroscience Platform—An open science framework for the neuroscience community.

Authors :
Harding, Rachel J.
Bermudez, Patrick
Bernier, Alexander
Beauvais, Michael
Bellec, Pierre
Hill, Sean
Karakuzu, Agâh
Knoppers, Bartha M.
Pavlidis, Paul
Poline, Jean-Baptiste
Roskams, Jane
Stikov, Nikola
Stone, Jessica
Strother, Stephen
Evans, Alan C.
Source :
PLoS Computational Biology; 7/27/2023, Vol. 19 Issue 7, p1-14, 14p, 1 Diagram, 1 Chart
Publication Year :
2023

Abstract

The Canadian Open Neuroscience Platform (CONP) takes a multifaceted approach to enabling open neuroscience, aiming to make research, data, and tools accessible to everyone, with the ultimate objective of accelerating discovery. Its core infrastructure is the CONP Portal, a repository with a decentralized design, where datasets and analysis tools across disparate platforms can be browsed, searched, accessed, and shared in accordance with FAIR principles. Another key piece of CONP infrastructure is NeuroLibre, a preprint server capable of creating and hosting executable and fully reproducible scientific publications that embed text, figures, and code. As part of its holistic approach, the CONP has also constructed frameworks and guidance for ethics and data governance, provided support and developed resources to help train the next generation of neuroscientists, and has fostered and grown an engaged community through outreach and communications. In this manuscript, we provide a high-level overview of this multipronged platform and its vision of lowering the barriers to the practice of open neuroscience and yielding the associated benefits for both individual researchers and the wider community. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1553734X
Volume :
19
Issue :
7
Database :
Complementary Index
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
167363425
Full Text :
https://doi.org/10.1371/journal.pcbi.1011230