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Nat Neurosci. 2014 Nov;17(11):1510-7. doi: 10.1038/nn.3818. Epub 2014 Oct 28.

Making big data open: data sharing in neuroimaging.

Author information

1
Department of Psychology, Stanford Univeristy, Stanford, California, USA.
2
1] Department of Psychology, Stanford Univeristy, Stanford, California, USA. [2] Max Planck Research Group Neuroanatomy and Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Abstract

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.

PMID:
25349916
DOI:
10.1038/nn.3818
[Indexed for MEDLINE]

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