The OpenNeuro resource for sharing of neuroscience data.

Details

Ressource 1Download: 34658334_BIB_F2D19B23FFA1.pdf (671.72 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_F2D19B23FFA1
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The OpenNeuro resource for sharing of neuroscience data.
Journal
eLife
Author(s)
Markiewicz C.J., Gorgolewski K.J., Feingold F., Blair R., Halchenko Y.O., Miller E., Hardcastle N., Wexler J., Esteban O., Goncavles M., Jwa A., Poldrack R.
ISSN
2050-084X (Electronic)
ISSN-L
2050-084X
Publication state
Published
Issued date
18/10/2021
Peer-reviewed
Oui
Volume
10
Pages
e71774
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
Publication Status: epublish
Abstract
The sharing of research data is essential to ensure reproducibility and maximize the impact of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN Initiative data archive that provides the ability to openly share data from a broad range of brain imaging data types following the FAIR principles for data sharing. We highlight the importance of the Brain Imaging Data Structure standard for enabling effective curation, sharing, and reuse of data. The archive presently shares more than 600 datasets including data from more than 20,000 participants, comprising multiple species and measurement modalities and a broad range of phenotypes. The impact of the shared data is evident in a growing number of published reuses, currently totalling more than 150 publications. We conclude by describing plans for future development and integration with other ongoing open science efforts.
Keywords
EEG, MEG, MRI, data sharing, human, mouse, neuroimaging, neuroscience, open science, rat
Pubmed
Web of science
Open Access
Yes
Create date
19/11/2021 18:15
Last modification date
23/01/2024 7:37
Usage data