A manifesto for reproducible science View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-01-10

AUTHORS

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

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. More... »

PAGES

0021

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41562-016-0021

DOI

http://dx.doi.org/10.1038/s41562-016-0021

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016358111

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/33954258


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