A manifesto for reproducible science

Marcus R. Munafò(University of Bristol), Brian A. Nosek(Center for Open Science), Dorothy Bishop(University of Oxford), Katherine S. Button(University of Bath), Chris Chambers(Cardiff University), Nathalie Percie du Sert(National Centre for the Replacement Refinement and Reduction of Animals in Research), Uri Simonsohn(University of Pennsylvania), Eric‐Jan Wagenmakers(Amsterdam University of Applied Sciences), Jennifer J. Ware(CHDI Foundation), John P. A. Ioannidis(Stanford Health Care)
Nature Human Behaviour
January 10, 2017
Cited by 3,477Open Access
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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.


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