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Making big data open: data sharing in neuroimaging

Journal

NATURE NEUROSCIENCE
Volume 17, Issue 11, Pages 1510-1517

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nn.3818

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Funding

  1. US National Science Foundation [OCI-1131441]
  2. US National Institute of Drug Abuse [1R21DA034316-S1]
  3. Max Planck Society
  4. Division Of Integrative Organismal Systems
  5. Direct For Biological Sciences [1120912] Funding Source: National Science Foundation
  6. Office of Advanced Cyberinfrastructure (OAC)
  7. Direct For Computer & Info Scie & Enginr [1532231] Funding Source: National Science Foundation

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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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