Special issue on software citation, indexing, and discoverability

Author:

Katz Daniel S.1ORCID,Chue Hong Neil P.23ORCID

Affiliation:

1. National Center for Supercomputing Applications, Department of Computer Science, Department of Electrical and Computer Engineering, School of Information Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America

2. Edinburgh Parallel Computing Centre, University of Edinburgh, Edinburgh, United Kingdom

3. Software Sustainability Institute, University of Edinburgh, Edinburgh, United Kingdom

Abstract

Software plays a fundamental role in research as a tool, an output, or even as an object of study. This special issue on software citation, indexing, and discoverability brings together five papers examining different aspects of how the use of software is recorded and made available to others. It describes new work on datasets that enable large-scale analysis of the evolution of software usage and citation, that presents evidence of increased citation rates when software artifacts are released, that provides guidance for registries and repositories to support software citation and findability, and that shows there are still barriers to improving and formalising software citation and publication practice. As the use of software increases further, driven by modern research methods, addressing the barriers to software citation and discoverability will encourage greater sharing and reuse of software, in turn enabling research progress.

Funder

UK Research Councils

Publisher

PeerJ

Reference24 articles.

1. A survey of researchers’ code sharing and code reuse practices, and assessment of interactive notebook prototypes;Cadwallader;PeerJ,2022

2. Conceptualization of a US research software sustainability institute (URSSI);Carver;Computing in Science & Engineering,2018

3. Software citation checklist for developers;Chue Hong;Zenodo,2019a

4. Software citation checklist for authors;Chue Hong,2019b

5. FAIR principles for research software (FAIR4RS Principles);Chue Hong;Zenodo,2022

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