The OpenNeuro resource for sharing of neuroscience data

eLife

Yaroslav O Halchenko¹  Joe Wexler²  Krzysztof J Gorgolewski²  Mathias Goncavles²  Anita Jwa²  Franklin Feingold²  Christopher J Markiewicz²  Ross Blair²  Russell Poldrack²  Oscar Esteban³  Nell Hardcastle⁴  Eric Miller⁴ 

[1] Department of Psychological & Brain Sciences, Dartmouth College, Hanover, United States;Department of Psychology, Stanford University, Stanford, United States;Department of Psychology, Stanford University, Stanford, United States;Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland;Squishymedia, Portland, United States;

关键词: neuroimaging;    data sharing;    open science;    MRI;    MEG;    EEG;    Human;    Mouse;    Rat;   

DOI  :  10.7554/eLife.71774

来源: eLife Sciences Publications, Ltd

【 摘 要 】

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.

【 授权许可】

CC BY