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Brain Imaging Data Structure

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This is an old revision of this page, as edited by Elmidae (talk | contribs) at 19:20, 28 March 2018 (detag - seems sufficiently notable; a fair number of studies can be found that use the format. Added a few lazy refs to prime the pump, if someone wants to expand w/ application cases). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Brain Imaging Data Structure (BIDS) is a standard for organizing, annotation, and describing data collected during neuroimaging experiments. It is based on formalized file/folder structure and JSON based metadata files with controlled vocabulary.[1] This standard has been adopted by dozens of labs around the world as well as databases such as OpenfMRI, SchizConnect, Developing Human Connectome Project, and FCP-INDI, and is seeing uptake in an increasing number of studies.[2][3][4]

References

  1. ^ "The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments". Scientific Data. 3. doi:10.1038/sdata.2016.44. PMID 27326542. {{cite journal}}: Cite uses deprecated parameter |authors= (help)
  2. ^ Poldrack, R. A., et al. "A phenome-wide examination of neural and cognitive function." Scientific data 3 (2016): 160110.
  3. ^ Bigdely-Shamlo, Nima, Scott Makeig, and Kay A. Robbins. "Preparing laboratory and real-world EEG data for large-scale analysis: a containerized approach." Frontiers in neuroinformatics 10 (2016): 7.
  4. ^ Nichols, Thomas E., et al. "Best practices in data analysis and sharing in neuroimaging using MRI." Nature neuroscience 20.3 (2017): 299.