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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 pr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805487/ https://www.ncbi.nlm.nih.gov/pubmed/33500780 http://dx.doi.org/10.12688/f1000research.26932.2 |
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author | Katz, Daniel S. Chue Hong, Neil P. Clark, Tim Muench, August Stall, Shelley Bouquin, Daina Cannon, Matthew Edmunds, Scott Faez, Telli Feeney, Patricia Fenner, Martin Friedman, Michael Grenier, Gerry Harrison, Melissa Heber, Joerg Leary, Adam MacCallum, Catriona Murray, Hollydawn Pastrana, Erika Perry, Katherine Schuster, Douglas Stockhause, Martina Yeston, Jake |
author_facet | Katz, Daniel S. Chue Hong, Neil P. Clark, Tim Muench, August Stall, Shelley Bouquin, Daina Cannon, Matthew Edmunds, Scott Faez, Telli Feeney, Patricia Fenner, Martin Friedman, Michael Grenier, Gerry Harrison, Melissa Heber, Joerg Leary, Adam MacCallum, Catriona Murray, Hollydawn Pastrana, Erika Perry, Katherine Schuster, Douglas Stockhause, Martina Yeston, Jake |
author_sort | Katz, Daniel S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7805487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-78054872021-01-25 Recognizing the value of software: a software citation guide Katz, Daniel S. Chue Hong, Neil P. Clark, Tim Muench, August Stall, Shelley Bouquin, Daina Cannon, Matthew Edmunds, Scott Faez, Telli Feeney, Patricia Fenner, Martin Friedman, Michael Grenier, Gerry Harrison, Melissa Heber, Joerg Leary, Adam MacCallum, Catriona Murray, Hollydawn Pastrana, Erika Perry, Katherine Schuster, Douglas Stockhause, Martina Yeston, Jake F1000Res Method Article 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. F1000 Research Limited 2021-01-12 /pmc/articles/PMC7805487/ /pubmed/33500780 http://dx.doi.org/10.12688/f1000research.26932.2 Text en Copyright: © 2021 Katz DS et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Article Katz, Daniel S. Chue Hong, Neil P. Clark, Tim Muench, August Stall, Shelley Bouquin, Daina Cannon, Matthew Edmunds, Scott Faez, Telli Feeney, Patricia Fenner, Martin Friedman, Michael Grenier, Gerry Harrison, Melissa Heber, Joerg Leary, Adam MacCallum, Catriona Murray, Hollydawn Pastrana, Erika Perry, Katherine Schuster, Douglas Stockhause, Martina Yeston, Jake Recognizing the value of software: a software citation guide |
title | Recognizing the value of software: a software citation guide |
title_full | Recognizing the value of software: a software citation guide |
title_fullStr | Recognizing the value of software: a software citation guide |
title_full_unstemmed | Recognizing the value of software: a software citation guide |
title_short | Recognizing the value of software: a software citation guide |
title_sort | recognizing the value of software: a software citation guide |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805487/ https://www.ncbi.nlm.nih.gov/pubmed/33500780 http://dx.doi.org/10.12688/f1000research.26932.2 |
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