OpenNeuro.org

Stanford Center for Reproducible Neuroscience
United States of America

About

Launched: 2015
Record Updated: Sep 30, 2026
Data resource
Open scholarly dataset
Repository service
OpenNeuro.org is a free, open-access platform for sharing and analyzing neuroimaging data (MRI, MEG, EEG, iEEG, ECoG, and ASL), maintained by Stanford University. It hosts datasets organized in the Brain Imaging Data Structure (BIDS) format and lets researchers validate, browse, and download data to support reproducible neuroscience research.

Domain Relevance

  • Biological sciences
  • Health sciences

Mission

OpenNeuro's mission is to accelerate discovery in neuroscience by making brain imaging data openly and freely available for reuse. Our platform lets researchers upload, share, and archive neuroimaging data so others can validate findings, run secondary analyses, or combine datasets to answer novel questions the original studies never asked. Our use of the BIDS standard keeps data consistently organized and machine-readable, which lowers the barrier to reuse and supports reproducibility across labs. Underlying all of this is a push toward open science: treating data as a shared resource rather than a private asset, so progress in understanding the brain isn't bottlenecked by data silos or duplicated effort.

Key Achievements

OpenNeuro.org now hosts more than 1,000 public datasets spanning over 50,000 participants across MRI, fMRI, EEG, MEG, iEEG, and PET modalities. Importantly, researchers have cited or reused OpenNeuro data in over 200 open-access articles, with >150 publications having reused OpenNeuro datasets specifically. Both data deposition and reuse show dramatic year-over-year increases, highlighting the demand being met by this resource. Further, while OpenNeuro was initially conceived of as a place to deposit raw, BIDS-formatted data, a tooling ecosystem has since developed (e.g. fMRIPrep and MRIQC). This has allowed deposition of processed, analysis-ready outputs through OpenNeuroDerivatives, a companion collection of BIDS Derivatives datasets generated by fMRIPrep and MRIQC directly against OpenNeuro's raw datasets. As of 2026, OpenNeuro has recieved more than $10 million in research funding from the NIH BRAIN Initiative and from generous philanthropic gifts.

Technical Attributes

Maintenance Status

Actively Maintained

Open Code Repository

Implemented

Technical Documentation

Implemented

Code License

Implemented

Open API

Implemented

Open Data Statement

Implemented

Technical Attribute Statements

Programming Languages

  • python
  • typescript

Technology Readiness Level

  • Actual system proven in operational environment

Code Licenses Used

  • MIT License

Content Licensing

  • Creative commons licenses

Standards

Metadata

  • Brain Imaging Data Structure (BIDS)
  • JSON
  • REST

Persistent Identifier

  • ORCiD
Other:
DOI

Community Engagement

Community Statements

Engagement with Values Frameworks

  • FAIR Guiding Principles for Scientific Data Management and Stewardship

Additional Information

Organizational History

OpenNeuro traces back to OpenfMRI, a project Russell Poldrack started in 2010 to let researchers openly share raw fMRI datasets, at a time when almost no infrastructure existed for that in neuroimaging. It ran for several years as a straightforward repository: labs uploaded raw data, and others could download it, but there was no shared standard for how that data should be organized or described. That changed with the Brain Imaging Data Structure (BIDS), a metadata and file-organization standard developed by Poldrack's group and collaborators, which gave neuroimaging data a common, machine-readable structure for the first time. Once BIDS existed, the OpenfMRI team rebuilt the platform around it: in early 2018 OpenNeuro was launched. OpenNeuro was subsequently supported by the NIH BRAIN Initiative, and is an official NIH BRAIN Data Archive. OpenNeuro is housed at Stanford University and is currently run by Russ Poldrack and Josh Buckholtz.

Organizational Structure

Business or Ownership Model

Fiscal sponsorship (academic institution)

Full-time Staff

1-5

Volunteers

0

Funding

Primary Funding Source

  • Contributions
  • Other
Other:
NIH Grants

Revenue Sources

  • Grants (private)
  • Grants (public)

Funding Needs

Investment can close specific, measurable gaps between OpenNeuro's current state and its mission of making neuroimaging data genuinely reusable. First, multi-year, non-cycle-bound funding would let the team maintain security and staffing continuity beyond its current five-year NIH R24 grant. Second, storage and bandwidth investment removes a cost ceiling that scales with dataset growth, a structural risk for a public good with no independent revenue stream. Third, funding for derivatives (preprocessed, analysis-ready outputs like fMRIPrep pipelines) and metadata standardization (e.g. CEDAR ontology integration) drives actual reuse, not just deposits, the truer measure of mission success. Fourth, investment in the underlying BIDS data standard benefits the whole neuroimaging ecosystem, not OpenNeuro alone. OpenNeuro has drawn over $8 million in NIH support and shows rising dataset reuse in published research, evidence the model works and warrants sustained, not year-to-year, investment.

Fiscal Host

Stanford University