Mayernik Matthew S, Maull Keith E
NCAR/UCAR Library, National Center for Atmospheric Research (NCAR), University Corporation for Atmospheric Research (UCAR), Boulder, Colorado, United States of America.
PLoS One. 2017 Apr 10;12(4):e0175418. doi: 10.1371/journal.pone.0175418. eCollection 2017.
Significant progress has been made in the past few years in the development of recommendations, policies, and procedures for creating and promoting citations to data sets, software, and other research infrastructures like computing facilities. Open questions remain, however, about the extent to which referencing practices of authors of scholarly publications are changing in ways desired by these initiatives. This paper uses four focused case studies to evaluate whether research infrastructures are being increasingly identified and referenced in the research literature via persistent citable identifiers. The findings of the case studies show that references to such resources are increasing, but that the patterns of these increases are variable. In addition, the study suggests that citation practices for data sets may change more slowly than citation practices for software and research facilities, due to the inertia of existing practices for referencing the use of data. Similarly, existing practices for acknowledging computing support may slow the adoption of formal citations for computing resources.
在过去几年中，在制定有关创建和推广对数据集、软件以及计算设施等其他研究基础设施的引用的建议、政策和程序方面取得了重大进展。然而，关于学术出版物作者的引用做法在多大程度上按照这些倡议所期望的方式发生变化，仍然存在一些悬而未决的问题。本文使用四个重点案例研究来评估研究基础设施是否通过持久的可引用标识符在研究文献中得到越来越多的识别和引用。案例研究的结果表明，对这类资源的引用正在增加，但这些增加的模式各不相同。此外，该研究表明，由于现有引用数据使用的做法具有惯性，数据集的引用做法可能比软件和研究设施的引用做法变化得更慢。同样，现有的认可计算支持的做法可能会减缓对计算资源采用正式引用的速度。
