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Software citations, information systems, and beyond. (English) Zbl 1367.68336
Geuvers, Herman (ed.) et al., Intelligent computer mathematics. 10th international conference, CICM 2017, Edinburgh, UK, July 17–21, 2017. Proceedings. Cham: Springer (ISBN 978-3-319-62074-9/pbk; 978-3-319-62075-6/ebook). Lecture Notes in Computer Science 10383. Lecture Notes in Artificial Intelligence, 99-114 (2017).
Summary: Even though software plays an ever-increasing role in today’s research and engineering processes, the scholarly publication process has not quite caught up with this. In particular, referencing and citing software remains problematic. Citations for publications are well-standardized but don’t immediately apply to software as, for instance, (a) software information is extremely heterogeneous, (b) software code is not persistent, and (c) the level of software information is often too coarse-granular.{
}Current initiatives try to solve (a) by postulating “landing pages” for software that aggregate standardized meta-data and can be used as targets for citations and (b) by version-specific sub-landing pages. However no information services that provide such landing pages currently exist, making these proposals ineffective in practice.{
}After an overview of the state-of-the-art, we propose to use swMATH’s information system for mathematical software as a source of landing pages, show an approach for version-specific sub-pages, and discuss approaches to cope with problem (c) (granularity).
For the entire collection see [Zbl 1364.68010].
MSC:
68U35 Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.)
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