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; John P. A. Ioannidis

doi:10.1038/s41562-016-0021

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, John P. A. Ioannidis

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1913 Citations (SciVal)

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.

Original language	English
Pages (from-to)	0021
Journal	Nature Human Behaviour
Volume	1
Issue number	1
DOIs	https://doi.org/10.1038/s41562-016-0021
Publication status	Published - 10 Jan 2017

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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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AU - Percie Du Sert, Nathalie

AU - Simonsohn, Uri

AU - Wagenmakers, Eric-jan

AU - Ware, Jennifer J.

AU - Ioannidis, John P. A.

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A manifesto for reproducible science

Abstract

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