Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria
Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria
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DOI：
10.1109/mcse.2019.2949413
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发表时间：
2020-01-01
影响因子：
2.1
通讯作者：
Rougier, Nicolas
中科院分区：
文献类型：
--
作者：
Alliez, Pierre;Di Cosmo, Roberto;Rougier, Nicolas
软件是现代科学研究的基本支柱，涉及所有领域和学科。然而，由于问题在作者、角色和信用方面的复杂性，缺乏足够的方法来引用和参考软件。如果考虑到软件的生命周期可能长达几十年，则这种复杂性会进一步增加。基于法国数字科学研究所Inria的内部经验，我们在本文中为正在进行的努力做出贡献，以便为软件引用和参考制定适当的指导方针和建议。也就是说，我们建议：第一，对软件贡献进行更丰富的分类，并有一个定性的尺度；第二，将人放在评估的核心；第三，区分引用和参考。
Software is a fundamental pillar of modern scientific research, across all fields and disciplines. However, there is a lack of adequate means to cite and reference software due to the complexity of the problem in terms of authorship, roles, and credits. This complexity is further increased when it is considered over the lifetime of a software that can span up to several decades. Building upon the internal experience of Inria, the French research institute for digital sciences, we provide in this article a contribution to the ongoing efforts in order to develop proper guidelines and recommendations for software citation and reference. Namely, we recommend: first, a richer taxonomy for software contributions with a qualitative scale; second, to put humans at the heart of the evaluation; and third, to distinguish citation from reference.