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A manifesto for reproducible science

Abstract:
Improving the reliability and efficiency of scientific research will increase the credibility of the published scientific literature and accelerate discovery. Here we argue for the adoption of measures to optimize key elements of the scientific process: methods, reporting and dissemination, reproducibility, evaluation and incentives. There is some evidence from both simulations and empirical studies supporting the likely effectiveness of these measures, but their broad adoption by researchers, institutions, funders and journals will require iterative evaluation and improvement. We discuss the goals of these measures, and how they can be implemented, in the hope that this will facilitate action toward improving the transparency, reproducibility and efficiency of scientific research.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41562-016-0021

Authors

More by this author
Institution:
University of Oxford
Oxford college:
St John's College
Role:
Author



Publisher:
Nature Publishing Group
Journal:
Nature Human Behaviour More from this journal
Volume:
1
Issue:
1
Pages:
0021
Publication date:
2017-01-01
Acceptance date:
2016-11-21
DOI:
ISSN:
2397-3374


Pubs id:
pubs:682604
UUID:
uuid:2dcc8584-7b1f-453d-822d-0893aec8428f
Local pid:
pubs:682604
Source identifiers:
682604
Deposit date:
2017-03-02
ARK identifier:

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