Recognizing the value of software: a software citation guide

Author:

Katz Daniel S.ORCID,Chue Hong Neil P.ORCID,Clark Tim,Muench AugustORCID,Stall ShelleyORCID,Bouquin Daina,Cannon MatthewORCID,Edmunds Scott,Faez Telli,Feeney Patricia,Fenner Martin,Friedman MichaelORCID,Grenier GerryORCID,Harrison MelissaORCID,Heber Joerg,Leary AdamORCID,MacCallum CatrionaORCID,Murray Hollydawn,Pastrana Erika,Perry KatherineORCID,Schuster Douglas,Stockhause MartinaORCID,Yeston Jake

Abstract

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.

Publisher

F1000 Research Ltd

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference8 articles.

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