Scientific progress depends upon the accumulation of empirical knowledge via reproducible methodology. Although reproducibility is a main tenet of the scientific method, recent studies have highlighted widespread failures in adherence to this ideal. The goal of this study was to gauge the level of computational reproducibility, or the ability to obtain the same results using the same data and analytic methods as in the original publication, in the field of wildlife science. We randomly selected 80 papers published in the Journal of Wildlife Management and Wildlife Society Bulletin between 1 June 2016 and 1 June 2018. Of those that were suitable for reproducibility review (n = 74), we attempted to obtain study data from online repositories or directly from authors. Forty‐two authors did not respond to our requests, and we were further unable to obtain data from authors of 13 other studies. Of the 19 studies for which we were able to obtain data and complete our analysis, we judged that 13 were mostly or fully reproducible. We conclude that the studies with publicly available data or data shared upon request were largely reproducible, but we remain concerned about the difficulty in obtaining data from recently published papers. We recommend increased data‐sharing, data organization and documentation, communication, and training to advance computational reproducibility in the wildlife sciences. © 2020 The Authors. The Journal of Wildlife Management published by Wiley Periodicals, Inc. on behalf of The Wildlife Society.

中文翻译：

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野生动物协会旗舰期刊中的计算重现性

科学进步取决于通过可复制的方法积累的经验知识。尽管可重复性是科学方法的主要宗旨，但最近的研究强调了坚持这一理想的普遍失败。这项研究的目的是评估野生生物科学领域中计算重复性的水平，或使用与原始出版物相同的数据和分析方法获得相同结果的能力。我们从2016年6月1日至2018年6月1日之间随机选择了80篇发表在《野生动物管理和野生动物协会公报》上的论文。在那些适于再现性审查的论文中（n = 74），我们尝试从在线存储库或直接从作者那里获取研究数据。42位作者没有回应我们的要求，并且我们进一步无法从其他13项研究的作者那里获得数据。在我们能够获得数据并完成分析的19项研究中，我们判断13项是大部分或完全可重复的。我们得出结论，使用公开数据或应要求共享数据的研究在很大程度上可重复，但我们仍然担心从最近发表的论文中获取数据的难度。我们建议增加数据共享，数据组织和文档编制，沟通和培训，以提高野生动植物科学的计算可重复性。©2020作者。该杂志野生动物管理 由Wiley Periodicals，Inc.代表野生动物协会出版。