Maumet, Camille, Auer, Tibor, Bowring, Alexander, Chen, Gang, Das, Samir, Flandin, Guillaume, Ghosh, Satrajit, Glatard, Tristan, Gorgolewski, Krzysztof J., Helmer, Karl G., Jenkinson, Mark, Keator, David B., Nichols, B. Nolan, Poline, Jean-Baptiste, Reynolds, Richard, Sochat, Vanessa, Turner, Jessica and Nichols, Thomas E. (2016) Sharing brain mapping statistical results with the neuroimaging data model. Scientific Data, 3 . 160102. doi:10.1038/sdata.2016.102 ISSN 2052-4463.

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Abstract

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 format specification 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 standardized representation allows authors to relay methods and results in a platform-independent regularized 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.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science, Engineering and Medicine > Science > Statistics Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	Medical statistics—Computer programs, Electronic data processing, Medicine—Research
Journal or Publication Title:	Scientific Data
Publisher:	Nature Publishing Group
ISSN:	2052-4463
Official Date:	6 December 2016
Dates:	Date Event 6 December 2016 Published 21 September 2016 Accepted 21 June 2016 Submitted
Volume:	3
Article Number:	160102
DOI:	10.1038/sdata.2016.102
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Date of first compliant deposit:	9 December 2016
Date of first compliant Open Access:	9 December 2016
Funder:	Wellcome Trust (London, England), Medical Research Council (Great Britain) (MRC), National Institutes of Health (U.S.) (NIH), Laura and John Arnold Foundation, Morphometry Biomedical Informatics Research Network, BIRN Coordinating Center, Ludmer Centre for Neuroinformatics and Mental Health, Function Biomedical Informatics Re-search Network, Conte Center on Brain Programming in Adolescent Vulnerabilities, National Institute of Mental Health (U.S.) (NIMH), National Institute of Neurological Disorders and Stroke (U.S.) (NINDS)
Grant number:	100309/Z/12/Z (Wellcome Trust); MC-A060–53114 (MRC); AA012388 (NIH); AA021697 (NIH); AA021697-04S1 (NIH); 1R01EB020740-01A1 (NIH); 1P41EB019936-01A1 (NIH); P41-EB019936; U24–038653; U24-RR021992; U24 RR025736-01; 1P50MH096889-01A1; U24 RR021382;
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