The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

• DOI: 10.1038/sdata.2016.44
• Publication Date: 2016-06-21T09:36:30Z
• Authors: Krzysztof J. Gorg...; Tibor Auer; Vince D. Calhoun; R. Cameron Craddock; Samir Das; Eugene P. Duff; Guillaume Flandin; Satrajit S. Ghosh; Tristan Glatard; Yaroslav O. Halch...; Daniel A. Handwerker; Michael Hanke; David Keator; Xiangrui Li; Zachary Michael; Camille Maumet; B. Nolan Nichols; Thomas E. Nichols; John Pellman; Jean-Baptiste Poline; Ariel Rokem; Gunnar Schaefer; Vanessa Sochat; William Triplett; Jessica A. Turner; Gaël Varoquaux; Russell A. Poldrack
• Keywords: Data Sharing; File format

The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens thousands studies using such as functional MRI and diffusion weighted have allowed for the non-invasive study brain. Despite fact that is routinely used to obtain data neuroscience research, there been no widely adopted standard organizing describing collected in an experiment. This renders sharing reusing (within or between labs) difficult if not impossible unnecessarily complicates application automatic pipelines quality assurance protocols. To solve this problem, we developed Brain Imaging Data Structure (BIDS), a datasets. BIDS uses file formats compatible with existing software, unifies majority practices already common field, captures metadata necessary most processing operations.