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A manifesto for reproducible science
by
Bishop, Dorothy V. M.
, Ware, Jennifer J.
, Nosek, Brian A.
, Wagenmakers, Eric-Jan
, Button, Katherine S.
, Munafò, Marcus R.
, Percie du Sert, Nathalie
, Ioannidis, John P. A.
, Simonsohn, Uri
, Chambers, Christopher D.
in
706/689
/ Behavioral Sciences
/ Bias
/ Biomedical and Life Sciences
/ Credibility
/ Data analysis
/ Discovery
/ Dissemination
/ Education
/ Efficiency
/ Experimental Psychology
/ Grammatical aspect
/ Hypotheses
/ Laboratory animals
/ Life Sciences
/ Microeconomics
/ Neurosciences
/ Personality and Social Psychology
/ perspective
/ Reliability
/ Reproducibility
/ Science
/ Scientists
/ Transparency
2017
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A manifesto for reproducible science
by
Bishop, Dorothy V. M.
, Ware, Jennifer J.
, Nosek, Brian A.
, Wagenmakers, Eric-Jan
, Button, Katherine S.
, Munafò, Marcus R.
, Percie du Sert, Nathalie
, Ioannidis, John P. A.
, Simonsohn, Uri
, Chambers, Christopher D.
in
706/689
/ Behavioral Sciences
/ Bias
/ Biomedical and Life Sciences
/ Credibility
/ Data analysis
/ Discovery
/ Dissemination
/ Education
/ Efficiency
/ Experimental Psychology
/ Grammatical aspect
/ Hypotheses
/ Laboratory animals
/ Life Sciences
/ Microeconomics
/ Neurosciences
/ Personality and Social Psychology
/ perspective
/ Reliability
/ Reproducibility
/ Science
/ Scientists
/ Transparency
2017
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Do you wish to request the book?
A manifesto for reproducible science
by
Bishop, Dorothy V. M.
, Ware, Jennifer J.
, Nosek, Brian A.
, Wagenmakers, Eric-Jan
, Button, Katherine S.
, Munafò, Marcus R.
, Percie du Sert, Nathalie
, Ioannidis, John P. A.
, Simonsohn, Uri
, Chambers, Christopher D.
in
706/689
/ Behavioral Sciences
/ Bias
/ Biomedical and Life Sciences
/ Credibility
/ Data analysis
/ Discovery
/ Dissemination
/ Education
/ Efficiency
/ Experimental Psychology
/ Grammatical aspect
/ Hypotheses
/ Laboratory animals
/ Life Sciences
/ Microeconomics
/ Neurosciences
/ Personality and Social Psychology
/ perspective
/ Reliability
/ Reproducibility
/ Science
/ Scientists
/ Transparency
2017
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Journal Article
A manifesto for reproducible science
2017
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Overview
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.
Leading voices in the reproducibility landscape call for the adoption of measures to optimize key elements of the scientific process.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
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