Recognizing the value of software: a software citation guide.

Software is as integral as a research paper, monograph, or dataset in terms of facilitating the full understanding and dissemination of research. This article provides broadly applicable guidance on software citation for the communities and institutions publishing academic journals and conference proceedings. We expect those communities and institutions to produce versions of this document with software examples and citation styles that are appropriate for their intended audience. This article (and those community-specific versions) are aimed at authors citing software, including software developed by the authors or by others. We also include brief instructions on how software can be made citable, directing readers to more comprehensive guidance published elsewhere. The guidance presented in this article helps to support proper attribution and credit, reproducibility, collaboration and reuse, and encourages building on the work of others to further research.

Informations de copyright

Copyright: © 2021 Katz DS et al.

Déclaration de conflit d'intérêts

Competing interests: Authors include representative and editors from: Journal of Open Source Software (Open Journals), Journal of Open Research Software (Ubiquity Press), AAS Journals, AGU Journals, Taylor & Francis, GigaScience Press, Elsevier, DataCite, American Meteorological Society, IEEE Publications, eLife, PLOS, Oxford University Press, Hindawi, F1000Research, Springer Nature, Wiley, Science Magazine. Hollydawn Murray is the Head of Data and Software Publishing at F1000 Research, but was not involved in the processing of this article.