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The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
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(2016) The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data, 3 . 160044. doi:10.1038/sdata.2016.44
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Official URL: http://dx.doi.org/10.1038/sdata.2016.44
Abstract
The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain. Despite the fact that MRI is routinely used to obtain data for neuroscience research, there has been no widely adopted standard for organizing and describing the data collected in an imaging experiment. This renders sharing and reusing data (within or between labs) difficult if not impossible and unnecessarily complicates the application of automatic pipelines and quality assurance protocols. To solve this problem, we have developed the Brain Imaging Data Structure (BIDS), a standard for organizing and describing MRI datasets. The BIDS standard uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | R Medicine > R Medicine (General) | ||||||||
| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Library of Congress Subject Headings (LCSH): | Magnetic resonance imaging -- Data processing | ||||||||
| Journal or Publication Title: | Scientific Data | ||||||||
| Publisher: | Nature Publishing Group | ||||||||
| ISSN: | 2052-4463 | ||||||||
| Official Date: | 21 June 2016 | ||||||||
| Dates: |
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| Date of first compliant deposit: | 19 July 2016 | ||||||||
| Volume: | 3 | ||||||||
| Article Number: | 160044 | ||||||||
| DOI: | 10.1038/sdata.2016.44 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Funder: | International Neuroinformatics Coordinating Facility (INCF) , Laura and John Arnold Foundation, National Institutes of Health (U.S.) (NIH), Wellcome Trust (London, England), National Institute on Alcohol Abuse and Alcoholism (U.S.), National Institute of Mental Health (U.S.) (NIMH), Saxony-Anhalt (Germany), European Regional Development Fund (ERDF), Medical Research Council (Great Britain) (MRC), National Science Foundation (U.S.) (NSF) | ||||||||
| Grant number: | P20GM103472 (NIH), 1 U01 AA021697 (NIAAA), 1 U01 AA021697-04S1 (NIAAA), MC-A060-53144 (MRC), 1429999 (NSF) | ||||||||
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