A manifesto for reproducible science

Marcus R. Munafò (), Brian A. Nosek, Dorothy V. M. Bishop, Katherine S. Button, Christopher D. Chambers, Nathalie Percie du Sert, Uri Simonsohn, Eric-Jan Wagenmakers, Jennifer J. Ware and John P. A. Ioannidis
Additional contact information
Marcus R. Munafò: MRC Integrative Epidemiology Unit, University of Bristol
Brian A. Nosek: University of Virginia
Dorothy V. M. Bishop: University of Oxford
Katherine S. Button: University of Bath
Christopher D. Chambers: Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University
Nathalie Percie du Sert: National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs)
Uri Simonsohn: The Wharton School, University of Pennsylvania
Eric-Jan Wagenmakers: University of Amsterdam
Jennifer J. Ware: CHDI Management/CHDI Foundation
John P. A. Ioannidis: Meta-Research Innovation Center at Stanford (METRICS), Stanford University

Nature Human Behaviour, 2017, vol. 1, issue 1, 1-9

Abstract: 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.

Date: 2017
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DOI: 10.1038/s41562-016-0021

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