A manifesto for reproducible science

被引:1735
作者
Munafo, Marcus R. [1 ,2 ]
Nosek, Brian A. [3 ,4 ]
Bishop, Dorothy V. M. [5 ]
Button, Katherine S. [6 ]
Chambers, Christopher D. [7 ]
du Sert, Nathalie Percie [8 ]
Simonsohn, Uri [9 ]
Wagenmakers, Eric-Jan [10 ]
Ware, Jennifer J. [11 ]
Ioannidis, John P. A. [12 ,13 ,14 ,15 ]
机构
[1] Univ Bristol, MRC Integrat Epidemiol Unit, Bristol BS8 2BN, Avon, England
[2] Univ Bristol, Sch Expt Psychol, UK Ctr Tobacco & Alcohol Studies, 12A Priory Rd, Bristol BS8 1TU, Avon, England
[3] Univ Virginia, Dept Psychol, Charlottesville, VA 22904 USA
[4] Ctr Open Sci, Charlottesville, VA 22903 USA
[5] Univ Oxford, Dept Expt Psychol, 9 South Parks Rd, Oxford OX1 3UD, England
[6] Univ Bath, Dept Psychol, Bath BS2 7AY, Avon, England
[7] Cardiff Univ, Sch Psychol, Brain Res Imaging Ctr, Cardiff CF24 4HQ, S Glam, Wales
[8] Natl Ctr Replacement Refinement & Reduct Anim Res, London NW1 2BE, England
[9] Univ Penn, Wharton Sch, Philadelphia, PA 19104 USA
[10] Univ Amsterdam, Dept Psychol, NL-1018 WT Amsterdam, Netherlands
[11] CHDI Fdn, CHDI Management, New York, NY 10001 USA
[12] Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94304 USA
[13] Stanford Univ, Sch Med, Dept Med, Stanford Prevent Res Ctr, Stanford, CA 94305 USA
[14] Stanford Univ, Sch Med, Dept Hlth Res & Policy, Stanford, CA 94305 USA
[15] Stanford Univ, Dept Stat, Sch Humanities & Sci, Stanford, CA 94305 USA
来源
NATURE HUMAN BEHAVIOUR | 2017年 / 1卷 / 01期
基金
美国国家科学基金会; 英国医学研究理事会; 英国惠康基金; 英国经济与社会研究理事会; 英国生物技术与生命科学研究理事会;
关键词
STATISTICAL POWER; INCREASING VALUE; REDUCING WASTE; PSYCHOLOGICAL-RESEARCH; REGISTERED-REPORTS; SAMPLE-SIZE; STROKE; TRIALS; REPLICATIONS; INCENTIVES;
D O I
10.1038/s41562-016-0021
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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.
引用
收藏
页数:9
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