In the last decade, major advances have been made in the availability of shared neuroimaging data, such that there are more than 8,000 shared MRI (magnetic resonance imaging) data sets available online. Here we outline the state of data sharing for task-based functional MRI (fMRI) data, with a focus on various forms of data and their relative utility for subsequent analyses. We also discuss challenges to the future success of data sharing and highlight the ethical argument that data sharing may be necessary to maximize the contribution of human subjects.
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Thanks to T. Schonberg, D.S. Margulies and K. Heuer for comments on an early draft. Preparation of this paper was supported by the US National Science Foundation (OCI-1131441) and US National Institute of Drug Abuse (1R21DA034316-S1) to R.A.P. and Max Planck Society to K.J.G.
The authors declare no competing financial interests.
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Poldrack, R., Gorgolewski, K. Making big data open: data sharing in neuroimaging. Nat Neurosci 17, 1510–1517 (2014). https://doi.org/10.1038/nn.3818
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