RT Journal Article SR Electronic T1 NIDM-Results: a Neuroimaging Data Model to share brain mapping statistical results JF bioRxiv FD Cold Spring Harbor Laboratory SP 041798 DO 10.1101/041798 A1 Camille Maumet A1 Tibor Auer A1 Alexander Bowring A1 Gang Chen A1 Samir Das A1 Guillaume Flandin A1 Satrajit Ghosh A1 Tristan Glatard A1 Krzysztof J. Gorgolewski A1 Karl G. Helmer A1 Mark Jenkinson A1 David Keator A1 B. Nolan Nichols A1 Jean-Baptiste Poline A1 Richard Reynolds A1 Vanessa Sochat A1 Jessica Turner A1 Thomas E. Nichols YR 2016 UL http://biorxiv.org/content/early/2016/06/14/041798.abstract AB Only a tiny fraction of the data and metadata produced by an fMRI study is finally conveyed to the community. This lack of transparency not only hinders the reproducibility of neuroimaging results but also impairs future meta-analyses. In this work we introduce NIDM-Results, a standard providing a machine-readable description of neuroimaging statistical results along with key image data summarising the experiment. NIDM-Results provides a unified representation of mass univariate analyses including a level of detail consistent with available best practices. This standard allows authors to relay methods and results in a standard format that is not tied to a particular neuroimaging software package. Tools are available to export NIDM-Result graphs and associated files from the widely used SPM and FSL software packages, and the NeuroVault repository can import NIDM-Results archives. The specification is publically available at: http://nidm.nidash.org/specs/nidm-results.html.