OpenNeuro

OpenNeuro
Name	OpenNeuro
Type	Data repository
Founded	2016
Area served	Neuroscience
Focus	Neuroimaging data sharing

OpenNeuro is an open-access neuroimaging data repository that archives and shares magnetic resonance imaging datasets for research reuse. It supports standardized formats and community-driven curation to facilitate replication, meta-analysis, and methodological development across neuroscience. The platform interoperates with tools, institutions, and initiatives to increase transparency in studies involving brain imaging and computational analysis.

History

OpenNeuro originated from efforts to improve data sharing in neuroimaging led by teams associated with the Stanford Center for Reproducible Neuroscience, the International Neuroinformatics Coordinating Facility, and collaborators tied to the Human Connectome Project and the Alzheimer’s Disease Neuroimaging Initiative. Early predecessors include the OpenfMRI project and initiatives connected to the National Institutes of Health and the Wellcome Trust. Development intersected with milestones such as the publication of the Brain Imaging Data Structure and coordination with repositories related to the UK Biobank, the ENIGMA Consortium, the NIH Data Commons Pilot, the Human Brain Project, and the BIDS community. Major updates have corresponded with workshops at the Society for Neuroscience, meetings of the Organization for Human Brain Mapping, and presentations at the Annual Meeting of the Association for Computational Linguistics where standards and tooling were discussed alongside software from contributors at Massachusetts Institute of Technology, University College London, University of California Berkeley, Yale University, Harvard University, Columbia University, Princeton University, and Carnegie Mellon University.

Platform and Features

OpenNeuro provides dataset discovery, versioning, and persistent identifiers compatible with indexing by platforms such as ORCID, Crossref, and DataCite. The service integrates with analysis pipelines from AFNI, FSL, SPM, FreeSurfer, and Nipype, and supports cloud-based computing environments including Amazon Web Services, Google Cloud Platform, and platforms used by Microsoft Research, IBM Research, and NVIDIA Research. It leverages data validation tooling aligned with the Brain Imaging Data Structure and works with community resources like NeuroVault, NeuroSynth, and TemplateFlow. Authentication and contributor attribution are compatible with profiles at GitHub, Figshare, and Zenodo, and metadata schemas that reference standards used by the Global Alliance for Genomics and Health, the Research Organization Registry, and the Data Use Ontology.

Data Organization and Formats

Datasets on OpenNeuro adhere to the Brain Imaging Data Structure, facilitating interoperability with software developed at Princeton University, Massachusetts General Hospital, Stanford University, Johns Hopkins University, University of Pennsylvania, University of Oxford, University of Toronto, McGill University, and the Max Planck Institute. Supported modalities include structural MRI, functional MRI, diffusion MRI, and associated behavioral or physiological recordings, enabling analyses using packages from the Allen Institute for Brain Science, the National Institute of Mental Health, and the National Institute on Aging. File formats follow community conventions established by the Neuroimaging Informatics Technology Initiative and reference tools developed at the University of California San Diego, University of Washington, ETH Zurich, and the University of Zurich.

Privacy, Ethics, and Consent

OpenNeuro enforces deidentification practices informed by guidance from the Office for Human Research Protections, the Institutional Review Board frameworks at Columbia University, Harvard Medical School, and Yale School of Medicine, and ethical recommendations from the World Health Organization and the Council for International Organizations of Medical Sciences. Consent models reference templates from the National Institutes of Health, the European Commission, the Belmont Report principles cited by the National Academy of Sciences, and data governance recommendations promoted by the Global Alliance for Genomics and Health and the Wellcome Trust. Policies intersect with legal frameworks such as the European Union’s Charter-related instruments and institutional policies at the University of Cambridge and the University of Edinburgh.

Governance and Funding

Governance has involved partnerships among academic institutions, foundations, and national funders including the National Institutes of Health, the Wellcome Trust, the Chan Zuckerberg Initiative, the Gordon and Betty Moore Foundation, and national research councils in Canada, the United Kingdom, and Germany. Advisory input has come from representatives affiliated with the National Science Foundation, the European Research Council, the National Institute for Health Research, the Canadian Institutes of Health Research, and philanthropic organizations connected to the Kavli Foundation and the Simons Foundation. Institutional hosts and collaborating centers include teams at Stanford University, the University of California, Los Angeles, and the University of Michigan.

Community and Usage

The OpenNeuro community includes researchers from the Organization for Human Brain Mapping, the Society for Neuroscience, the International Neuroinformatics Coordinating Facility, the ENIGMA Consortium, the Human Connectome Project, the UK Biobank imaging team, and investigators at institutions such as Massachusetts Institute of Technology, University College London, University of Oxford, University of Toronto, McGill University, University of California San Diego, and the Max Planck Society. Training workshops have been presented at conferences organized by the IEEE, the Association for Computing Machinery, the Royal Society, and academic centers at Johns Hopkins University, Columbia University, and Peking University. Users integrate datasets with analysis workflows from AFNI, FSL, SPM, FreeSurfer, Nilearn, and MNE-Python.

Impact and Notable Studies

OpenNeuro-hosted datasets have enabled meta-analyses and reproducibility studies cited alongside work from the Human Connectome Project, the Alzheimer’s Disease Neuroimaging Initiative, the ENIGMA Consortium, the UK Biobank imaging studies, and publications in journals affiliated with Nature Publishing Group, the Proceedings of the National Academy of Sciences, Science, Neuron, and the Journal of Neuroscience. Notable reuse includes methodological benchmarks carried out with software from AFNI and FSL, machine learning applications using frameworks by Google Research, Facebook AI Research, DeepMind, and Microsoft Research, as well as cross-cohort analyses involving teams at Harvard Medical School, Massachusetts General Hospital, Stanford University, Yale University, Columbia University, Princeton University, and the Broad Institute.

Category:Neuroimaging