The Past, Present, and Future of the Brain Imaging Data Structure (BIDS).
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Le résumé fourni par la source
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.
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Les institutions déclarées
Stanford UniversityMax Planck Institute for Human DevelopmentUniversity of Colorado AnschutzUniversity of SurreyRosalind Franklin InstituteMontreal Neurological Institute and HospitalMcGill UniversityUniversity of California San DiegoCardiff UniversityInsermAix-Marseille UniversitéInstitut de Neurosciences des SystèmesBrigham and Women's HospitalHarvard UniversityUniversity of TrentoMassachusetts General HospitalCentro San Giovanni di Dio FatebenefratelliIstituti di Ricovero e Cura a Carattere ScientificoDigitalSpace (United States)Polytechnique MontréalGeorgia Institute of TechnologyCenter for Translational Research in Neuroimaging and Data ScienceAzienda-Unita' Sanitaria Locale Di CesenaUniversity of FlorenceGhent University HospitalGhent UniversityBoston Children's HospitalUniversity of MilanEpilepsy Research UKUniversity College LondonUniversity of ZurichFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat ValencianaThe University of Texas at AustinNYU Langone HealthUniversity of OxfordUK Dementia Research InstituteImperial College LondonNational Institute of Mental HealthUniversity of LausanneWellcome Centre for Human NeuroimagingEssen University HospitalUniversity of CopenhagenCopenhagen University HospitalMassachusetts Institute of TechnologyKing's College LondonCommonwealth Scientific and Industrial Research OrganisationAustralian e-Health Research CentreCommissariat à l'Énergie Atomique et aux Énergies AlternativesUniversité Paris-SaclayCentre Inria de SaclayCEA Paris-SaclayUniversité de MontréalUniversity of Milano-BicoccaDartmouth CollegeMayo Clinic in FloridaJohns Hopkins UniversityUniversity of MichiganUniversity of California, IrvineAmen ClinicsChild Mind InstituteFlorida International UniversityWestern UniversityWellcome Centre for Integrative NeuroimagingMass General BrighamColumbia UniversityThe Ohio State UniversityJohns Hopkins MedicineUniversity of GlasgowCentre National de la Recherche ScientifiqueInstitut de Recherche en Informatique et Systèmes AléatoiresEmpennUniversité de RennesNational Research CouncilCornell UniversityWeill Cornell MedicineAmsterdam NeuroscienceAmsterdam University Medical CentersVrije Universiteit AmsterdamKarolinska InstitutetSwedish National Data ServiceInstituto CajalRadboud University NijmegenHeinrich Heine University DüsseldorfUniversity of SalzburgHelmholtz-Zentrum Dresden-RossendorfUniversity of LiègeBasque Center on Cognition, Brain and LanguageUniversity of HoustonUniversity of PittsburghHumboldt-Universität zu BerlinEinstein Center Digital FutureBerlin Institute of Health at Charité - Universitätsmedizin BerlinBernstein Center for Computational Neuroscience BerlinEinstein Center for Neurosciences BerlinFreie Universität BerlinCharité - Universitätsmedizin BerlinInvicro (United Kingdom)The University of Texas at San AntonioOregon Health & Science UniversityUniversity of WashingtonUniversity of South CarolinaInstitut du CerveauLifespanUniversity of PennsylvaniaThe University of MelbourneFlorey Institute of Neuroscience and Mental HealthInstitut für Medizinische Informatik, Biometrie und EpidemiologieInstitut de Neurosciences de la TimoneUniversity of OregonChristian-Albrechts-Universität zu KielUniversity of BirminghamGoogle (United States)
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Les sujets associés
Functional Brain Connectivity StudiesHealth, Environment, Cognitive AgingAdvanced MRI Techniques and Applications