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计算科学中的可重复性研究。

Reproducible research in computational science.

机构信息

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.

出版信息

Science. 2011 Dec 2;334(6060):1226-7. doi: 10.1126/science.1213847.

DOI:10.1126/science.1213847
PMID:22144613
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3383002/
Abstract

Computational science has led to exciting new developments, but the nature of the work has exposed limitations in our ability to evaluate published findings. Reproducibility has the potential to serve as a minimum standard for judging scientific claims when full independent replication of a study is not possible.

摘要

计算科学带来了令人兴奋的新发展，但这项工作的性质暴露了我们评估已发表发现的能力的局限性。当完全无法对一项研究进行独立重复时，可重复性有可能成为评判科学论断的最低标准。

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本文引用的文献

[1]
Making data maximally available.

Science. 2011-2-11

[2]
Publish your computer code: it is good enough.

Nature. 2010-10-14

[3]
Computer science. Accessible reproducible research.

Science. 2010-1-22

[4]
Reproducible research and Biostatistics.

Biostatistics. 2009-7

[5]
Repeatability of published microarray gene expression analyses.

Nat Genet. 2009-2

[6]
Reproducible research: moving toward research the public can really trust.

Ann Intern Med. 2007-3-20

[7]
Reproducible epidemiologic research.

Am J Epidemiol. 2006-5-1

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