Research Article: “Software Citation in Theory and Practice” (Preprint)

The following article (preprint) was recently shared by its authors on arXiv.
Title

Software Citation in Theory and Practice

Authors
Daniel S. Katz
University of Illinois
Neil P. Chue Hong
University of Edinburgh
Source
via arXiv
July 21, 2018
Abstract

In most fields, computational models and data analysis have become a significant part of how research is performed, in addition to the more traditional theory and experiment. Mathematics is no exception to this trend. While the system of publication and credit for theory and experiment (journals and books, often monographs) has developed and has become an expected part of the culture, how research is shared and how candidates for hiring, promotion are evaluated, software (and data) do not have the same history. A group working as part of the FORCE11 community developed a set of principles for software citation that fit software into the journal citation system, allow software to be published and then cited, and there are now over 50,000 DOIs that have been issued for software. However, some challenges remain, including: promoting the idea of software citation to developers and users; collaborating with publishers to ensure that systems collect and retain required metadata; ensuring that the rest of the scholarly infrastructure, particularly indexing sites, include software; working with communities so that software efforts “count” and understanding how best to cite software that has not been published.

Direct to Full Text Article
8 pages; PDF.
https://arxiv.org/pdf/1807.08149.pdf

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