The OpenNeuro resource for sharing of neuroscience data

By Christopher J. Markiewicz, Krzysztof J. Gorgolewski, F. Feingold, Ross W. Blair, Yaroslav O. Halchenko, Eric Miller, Nell Hardcastle, Joseph Wexler, Oscar Esteban, Mathias Goncavles and 2 more. eLife, 2021

347 citations recorded by the source corpus.

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.

Subfields: Biophysics, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/8a812aa12fa465984736df1692d6a60e38483869

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biophysics

1. Michael S. Beauchamp
2. Christopher R'e

In Information Systems

1. Tri Dao
2. Atri Rudra
3. Christopher R'e
4. Arnaud Delorme
5. Scott Makeig

In Information Systems and Management

1. Tri Dao
2. Atri Rudra
3. Christopher R'e
4. Daniel Y. Fu

Citations in the corpus

• Hungry Hungry Hippos: Towards Language Modeling with State Space Models (2022, background): “In spite of the low sample size of individual datasets, neuroimaging research can be considered as recently entering a big data era because researchers more frequently share their collected datasets publicly [41].”
• An OpenMind for 3D Medical Vision Self-supervised Learning (2024, unknown): “All data was sourced or derived from datasets available on the OpenNeuro platform [30].”
• The BRAIN Initiative data-sharing ecosystem: Characteristics, challenges, benefits, and opportunities (2024, unknown): “Many datasets in Open-Neuro fall into the category of ‘big’ data along three axes: ‘width’ (the number of data subjects), ‘breadth’ (the number of phenotypes measured), and ‘depth’ (the number of measurements per individual) ( Markiewicz et al., 2021 , p. 7).”
• Hierarchical Event Descriptor library schema for EEG data annotation (2023, unknown): “Demonstrating BIDS compatibility is essential for several large efforts where EEG data are shared in BIDS, such as the EEGManyLabs project 52 , and open repositories , including OpenNeuro 53 , the Cuban Human Brain Mapping Project 54 and data sharing platforms such as LORIS 55 .”
• A comparison of neuroelectrophysiology databases (2023, methodology): “EEGLAB gathered contributions from programmers, tool authors, and users while providing access to 32-channel EEG recordings from 14 patients, which later became available on the OpenNeuro platform 14 .”