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Sackler Colloquium on Improving the Reproducibility of Scientific Research: An empirical analysis of journal policy effectiveness for computational reproducibility

机译:Sackler学术讨论会旨在提高科学研究的可重复性:对计算可重复性的期刊政策有效性的实证分析

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摘要

A key component of scientific communication is sufficient information for other researchers in the field to reproduce published findings. For computational and data-enabled research, this has often been interpreted to mean making available the raw data from which results were generated, the computer code that generated the findings, and any additional information needed such as workflows and input parameters. Many journals are revising author guidelines to include data and code availability. This work evaluates the effectiveness of journal policy that requires the data and code necessary for reproducibility be made available postpublication by the authors upon request. We assess the effectiveness of such a policy by (i) requesting data and code from authors and (ii) attempting replication of the published findings. We chose a random sample of 204 scientific papers published in the journal Science after the implementation of their policy in February 2011. We found that we were able to obtain artifacts from 44% of our sample and were able to reproduce the findings for 26%. We find this policy—author remission of data and code postpublication upon request—an improvement over no policy, but currently insufficient for reproducibility.
机译:科学交流的一个重要组成部分是为该领域的其他研究人员提供足够的信息来复制已发表的发现。对于基于计算和数据的研究,通常将其解释为提供从中产生结果的原始数据,产生结果的计算机代码以及所需的任何其他信息,例如工作流和输入参数。许多期刊正在修订作者指南,以包括数据和代码可用性。这项工作评估了期刊政策的有效性,该政策要求作者根据要求在出版后提供可再现性所需的数据和代码。我们通过(i)向作者索取数据和代码,以及(ii)尝试复制已发表的发现来评估这种政策的有效性。我们在2011年2月实施政策后,随机选择了204篇发表在《科学》杂志上的科学论文样本。我们发现,我们能够从44%的样本中获取伪像,并能够复制26%的发现。我们发现这项政策(应要求提供作者的数据发布和代码发布后的发布权)是对一项政策的改进,但是目前对于可重复性还不够。

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