OpenfMRI

OpenfMRI
Name	OpenfMRI
Caption	Open-access neuroimaging data initiative
Established	2010
Founder	Russell Poldrack
Location	California Institute of Technology; Stanford University
Discipline	Neuroscience; Neuroimaging

OpenfMRI OpenfMRI was an early open-access repository for task-based functional magnetic resonance imaging datasets, created to promote reproducibility and data sharing in neuroscience. It served researchers studying brain function who relied on institutions such as Stanford University, Massachusetts Institute of Technology, Harvard University, California Institute of Technology, University of Oxford, and University College London. The project influenced initiatives at organizations including the National Institutes of Health, Wellcome Trust, Human Brain Project, and Allen Institute for Brain Science.

History

OpenfMRI originated in the late 2000s amid debates involving figures and groups such as Russell Poldrack, Tal Yarkoni, Michael Gazzaniga, and consortia like the International Neuroinformatics Coordinating Facility and the Enhancing NeuroImaging Genetics through Meta-Analysis consortium. Early datasets came from labs at Yale University, Columbia University, University of Pennsylvania, University of Cambridge, and Johns Hopkins University. Conferences and meetings at venues such as the Society for Neuroscience annual meeting, the Organization for Human Brain Mapping conference, and workshops hosted by NIH shaped policy, alongside discussions involving funders like the Kaiser Family Foundation and Gordon and Betty Moore Foundation.

Mission and Scope

The mission emphasized open science endorsed by advocates from Open Science Framework, Center for Open Science, and proponents associated with PLOS Biology, Nature Neuroscience, and Science Translational Medicine. Scope included task-based fMRI from studies by principal investigators at Princeton University, Duke University, University of California, Berkeley, University of Michigan, University of Toronto, and McGill University. The platform aligned with standards promoted by Brain Imaging Data Structure initiatives and international bodies like Committee on Best Practices in Data Analysis and Sharing.

Data Repository and Access

Datasets in the repository were contributed by labs at University of Washington, Northwestern University, Brown University, University of California, Los Angeles, and University of Illinois at Urbana-Champaign. Access procedures were influenced by policies from National Science Foundation, European Research Council, Medical Research Council (UK), and ethical frameworks such as those from World Medical Association and American Psychological Association. Users included researchers affiliated with Yale School of Medicine, Columbia University Medical Center, Massachusetts General Hospital, Beth Israel Deaconess Medical Center, and Mount Sinai Hospital.

Data Organization and Standards

Data organization drew on contributions from groups at Neuroscience Information Framework, Neuroimaging Informatics Tools and Resources Clearinghouse, Human Connectome Project, UK Biobank, and ADNI. Standards referenced work by investigators at McGovern Institute for Brain Research, Salk Institute, Cold Spring Harbor Laboratory, and European Molecular Biology Laboratory. Metadata practices echoed formats used by Dryad, Figshare, Zenodo, and recommendations from FAIRsharing and Global Alliance for Genomics and Health.

Tools and Processing Pipelines

Processing pipelines and tools commonly applied to OpenfMRI datasets included software from FSL, SPM, AFNI, FreeSurfer, and libraries developed at Neuroinformatics Research Group. Workflows were automated with platforms influenced by Nipype, Docker, Singularity, and reproducibility frameworks advocated at Carnegie Mellon University, University of Pennsylvania Perelman School of Medicine, and Princeton Neuroscience Institute.

Contributions and Community

Contributors ranged across laboratories at University of Minnesota, Vanderbilt University, Indiana University Bloomington, Ohio State University, and University of Maryland. The community included data curators and methodologists from Kaiser Permanente, RAND Corporation, Scripps Research, Rensselaer Polytechnic Institute, and Dartmouth College. Collaborative projects intersected with initiatives by OpenNeuro, DataLad, BIDS-Apps, and partnerships with publishers such as Nature, eLife, and Frontiers Research Foundation.

Impact and Applications

OpenfMRI datasets enabled secondary analyses by investigators at Princeton Neuroscience Institute, Columbia University Mailman School of Public Health, UCSF, Emory University, and University of Pittsburgh Medical Center. Applications spanned cognitive neuroscience studies linked to work by Daniel Kahneman, Antonio Damasio, Susan Fiske, and computational modeling efforts at Google DeepMind, Facebook AI Research, Microsoft Research, and IBM Research. Downstream impacts informed translational research at National Institute of Mental Health, Stanford School of Medicine, University of California, San Diego, Brown University Warren Alpert Medical School, and policy discussions involving World Health Organization and OECD.

Category:Neuroimaging