Year: 2024
Type: article
Abstract: The Brain Imaging Data Structure (Gorgolewski et al., 2016) is a standard for organizing and naming neuroimaging data, which has quickly become successful and popular in the community with adoption by brain imaging repositories (e.g., OpenNeuro (Markiewicz et al., 2021), PublicnEUro (Public nEUro, 2023)), data management tools (e.g., COINS (Landis et al., 2016), XNAT (Marcus et al., 2007)) and computational platforms (e.g.BrainLife (Hayashi S, 2023)).BIDS allows data to be shared much more efficiently, enables the development of automated data analysis pipelines, and improves reproducibility.
DOI: 10.21105/joss.06067
Institutions: National Institutes of Health, University of Copenhagen, Rigshospitalet, Stanford University, University Medical Center of the Johannes Gutenberg University Mainz, University of South Carolina, Region Stockholm, Karolinska Institutet, Columbia University, Georgia State University, Center for Translational Research in Neuroimaging and Data Science, National Institute on Aging
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4401824935