RT Journal Article SR Electronic T1 The Brain Imaging Data Structure, a new format for organizing and describing outputs of neuroimaging experiments JF bioRxiv FD Cold Spring Harbor Laboratory SP 034561 DO 10.1101/034561 A1 Krzysztof J. Gorgolewski A1 Tibor Auer A1 Vince D. Calhoun A1 R. Cameron Craddock A1 Samir Das A1 Eugene P. Duff A1 Guillaume Flandin A1 Satrajit S. Ghosh A1 Tristan Glatard A1 Yaroslav O. Halchenko A1 Daniel A. Handwerker A1 Michael Hanke A1 David Keator A1 Xiangrui Li A1 Zachary Michael A1 Camille Maumet A1 B. Nolan Nichols A1 Thomas E. Nichols A1 John Pellman A1 Jean-Baptiste Poline A1 Ariel Rokem A1 Gunnar Schaefer A1 Vanessa Sochat A1 William Triplett A1 Jessica A. Turner A1 Gaƫl Varoquaux A1 Russell A. Poldrack YR 2016 UL http://biorxiv.org/content/early/2016/05/12/034561.abstract AB 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.