A manifesto for reproducible science

Title

A manifesto for reproducible science

Creator(s)

Munafò, Marcus R.

Nosek, Brian A.

Bishop, Dorothy V. M.

Button, Katherine S.

Chambers, Christopher D.

Percie du Sert, Nathalie

Simonsohn, Uri

Wagenmakers, Eric-Jan

Ware, Jennifer J.

Ioannidis, John P. A.

Date

2017

Is Part Of

Nature Human Behaviour

Volume

1

Issue

1

Pages

1-set

Language

eng

Rights

2017 Macmillan Publishers Limited

ISSN

2397-3374

DOI

https://doi.org/10.1038/s41562-016-0021

URI

https://www.nature.com/articles/s41562-016-0021

Zotero BiDiAr

https://www.zotero.org/groups/5293298/bidiar/items/3PD256AS/item-list

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.