@article {Gorgolewski034561, author = {Krzysztof J. Gorgolewski and Tibor Auer and Vince D. Calhoun and R. Cameron Craddock and Samir Das and Eugene P. Duff and Guillaume Flandin and Satrajit S. Ghosh and Tristan Glatard and Yaroslav O. Halchenko and Daniel A. Handwerker and Michael Hanke and David Keator and Xiangrui Li and Zachary Michael and Camille Maumet and B. Nolan Nichols and Thomas E. Nichols and John Pellman and Jean-Baptiste Poline and Ariel Rokem and Gunnar Schaefer and Vanessa Sochat and William Triplett and Jessica A. Turner and Ga{\"e}l Varoquaux and Russell A. Poldrack}, title = {The Brain Imaging Data Structure, a new format for organizing and describing outputs of neuroimaging experiments}, elocation-id = {034561}, year = {2016}, doi = {10.1101/034561}, publisher = {Cold Spring Harbor Laboratory}, abstract = {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.}, URL = {https://www.biorxiv.org/content/early/2016/05/12/034561}, eprint = {https://www.biorxiv.org/content/early/2016/05/12/034561.full.pdf}, journal = {bioRxiv} }