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Software in the Scientific Literature: Problems with Seeing, Finding, and Using Software Mentioned in the Biology Literature

机译:科学文献中的软件:生物学文献中提到的查找,查找和使用软件的问题

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摘要

Software is increasingly crucial to scholarship, yet the visibility and usefulness of software in the scientific record are in question. Just as with data, the visibility of software in publications is related to incentives to share software in reusable ways, and so promote efficient science. In this article, we examine software in publications through content analysis of a random sample of 90 biology articles. We develop a coding scheme to identify software "mentions" and classify them according to their characteristics and ability to realize the functions of citations. Overall, we find diverse and problematic practices: Only between 31% and 43% of mentions involve formal citations; informal mentions are very common, even in high impact factor journals and across different kinds of software. Software is frequently inaccessible (15%-29% of packages in any form; between 90% and 98% of specific versions; only between 24%-40% provide source code). Cites to publications are particularly poor at providing version information, whereas informal mentions are particularly poor at providing crediting information. We provide recommendations to improve the practice of software citation, highlighting recent nascent efforts. Software plays an increasingly great role in scientific practice; it deserves a clear and useful place in scholarly communication.
机译:软件对于学术越来越重要,但是在科学记录中软件的可见性和实用性受到质疑。就像数据一样,出版物中软件的可视性与以可重用方式共享软件的动机有关,从而促进了高效科学。在本文中,我们通过对90篇生物学文章的随机样本进行内容分析来检查出版物中的软件。我们开发了一种编码方案来识别软件“提及”,并根据其特征和实现引用功能的能力对其进行分类。总体而言,我们发现了各种各样且存在问题的做法:只有31%到43%的提及涉及正式引用;非正式提及非常普遍,甚至在影响因子很高的期刊和各种软件中也是如此。经常无法访问软件(任何形式的软件包的15%-29%;特定版本的90%至98%;仅提供源代码的24%-40%)。出版物的引用在提供版本信息方面特别差,而非正式提及在提供引用信息方面尤其差。我们提供改进软件引用实践的建议,着重强调最近的新生工作。软件在科学实践中起着越来越重要的作用。它在学术交流中应有明确而有用的位置。

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