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Journal article

Best practices in data analysis and sharing in neuroimaging using MRI

Abstract:
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.
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1038/nn.4500

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Dept of Population Health
Subgroup:
Clinical Trial Service Unit
Role:
Author
ORCID:
0000-0002-4516-5103
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Role:
Author
ORCID:
0000-0001-6363-2759
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Singapore Ministry of Education More from this funder
National University of Singapore More from this funder
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Publisher:
Nature Publishing Group Publisher's website
Journal:
Nature Neuroscience Journal website
Volume:
20
Issue:
3
Pages:
299-303
Publication date:
2017-02-23
Acceptance date:
2017-01-05
DOI:
EISSN:
1546-1726
ISSN:
1097-6256
Pubs id:
pubs:896197
URN:
uri:c91df04f-0267-439c-a02d-c6c1356f9175
UUID:
uuid:c91df04f-0267-439c-a02d-c6c1356f9175
Local pid:
pubs:896197

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