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T.E. Nichols (Thomas), Das, S. (Samir), Eickhoff, S.B. (Simon B.), Evans, A.C. (Alan C.), Glatard, T. (Tristan), Hanke, M. (Michael), Kriegeskorte, N. (Nikolaus), Milham, M.P. (Michael P.), Poldrack, R.A. (Russell A.), J.B. Poline (Jean Baptiste), et al. Proal, E. (Erika), Thirion, B. (Bertrand), Van Essen, D.C. (David C.), T.J.H. White (Tonya) and Yeo, B.T.T. (B. T. Thomas)

2017-02-23

Best practices in data analysis and sharing in neuroimaging using MRI

Publication

Publication

Nature Neuroscience , Volume 20 - Issue 3 p. 299- 303

Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world's neuroimaging data.

Additional Metadata
Persistent URL doi.org/10.1038/nn.4500, hdl.handle.net/1765/98284
Journal Nature Neuroscience
Grant This work was funded by the European Commission 7th Framework Programme; grant id fp7/604102 - The Human Brain Project (HBP)
Organisation Erasmus MC: University Medical Center Rotterdam
Citation
Nichols, T., Das, S. (Samir), Eickhoff, S.B. (Simon B.), Evans, A.C. (Alan C.), Glatard, T. (Tristan), Hanke, M. (Michael), … Yeo, B.T.T. (B. T. Thomas). (2017). Best practices in data analysis and sharing in neuroimaging using MRI. Nature Neuroscience (Vol. 20, pp. 299–303). doi:10.1038/nn.4500


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