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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
  • University of Bristol
  • University of Virginia
  • Center for Open Science
  • University of Oxford
  • Cardiff University
  • NC3Rs
  • Wharton School of the University of Pennsylvania
  • Vrije Universiteit Amsterdam
  • CHDI Foundation
  • Stanford University

Research output: Contribution to journalReview articlepeer-review

2360   Link opens in a new tab 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 languageEnglish
Article number0021
Pages (from-to)0021
JournalNature Human Behaviour
Volume1
Issue number1
DOIs
Publication statusPublished - 10 Jan 2017

ASJC Scopus subject areas

  • Social Psychology
  • Experimental and Cognitive Psychology
  • Behavioral Neuroscience

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