The OpenNeuro resource for sharing of neuroscience data

Elife. 2021 Oct 18:10:e71774. doi: 10.7554/eLife.71774.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Brain*
  • Databases, Factual / statistics & numerical data*
  • Humans
  • Information Dissemination*
  • Neuroimaging*
  • Neurosciences / organization & administration*