The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA
Identifiers and access
- DOI
- 10.1038/sdata.2016.44
- PubMed
- 27326542
- PMC
- PMC4978148
- Cited by
- 1871
Key findings
The Brain Imaging Data Structure (BIDS) is introduced as a community standard for organising MRI data and metadata using existing file formats, unifying widespread practices and capturing the metadata needed for common processing operations to enable sharing and reuse across labs.
Abstract
Source: pubmed
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.
Topics
- open-data-standards
- reproducibility-tooling
Preprint precursor
Earlier versions of this work that have been superseded by the published record above.
- bioRxiv (Cold Spring Harbor Laboratory) 2015 10.1101/034561
Lab authors
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