The OpenNeuro resource for sharing of neuroscience data

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 followi...

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Bibliographic Details
Published in:	eLife Vol. 10
Main Authors:	Markiewicz, Christopher J, Gorgolewski, Krzysztof J, Feingold, Franklin, Blair, Ross, Halchenko, Yaroslav O, Miller, Eric, Hardcastle, Nell, Wexler, Joe, Esteban, Oscar, Goncavles, Mathias, Jwa, Anita, Poldrack, Russell
Format:	Journal Article
Language:	English
Published:	England eLife Sciences Publications Ltd 18-10-2021 eLife Sciences Publications, Ltd
Subjects:	Alzheimer's disease Archives & records Automation Brain Community data sharing Databases, Factual - statistics & numerical data Datasets Digital Object Identifier EEG Electroencephalography Humans Information Dissemination Information sharing Magnetic resonance imaging Medical imaging MEG Metadata MRI Nervous system Neuroimaging Neuroscience Neurosciences Neurosciences - organization & administration Open access open science Phenotypes Public domain Reproducibility Researchers Tools and Resources mouse open science rat MRI EEG neuroscience human MEG data sharing neuroimaging
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Summary:	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.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	2050-084X 2050-084X
DOI:	10.7554/eLife.71774