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Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word
OBJECTIVES: To enhance reproducible research by creating a broadly accessible, free, open-source software tool for connecting Microsoft Word to statistical programs (R/R Markdown, Python, SAS, Stata) so that results may be automatically updated in a manuscript. MATERIALS AND METHODS: We developed St...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660954/ https://www.ncbi.nlm.nih.gov/pubmed/33215069 http://dx.doi.org/10.1093/jamiaopen/ooaa043 |
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author | Welty, Leah J Rasmussen, Luke V Baldridge, Abigail S Whitley, Eric W |
author_facet | Welty, Leah J Rasmussen, Luke V Baldridge, Abigail S Whitley, Eric W |
author_sort | Welty, Leah J |
collection | PubMed |
description | OBJECTIVES: To enhance reproducible research by creating a broadly accessible, free, open-source software tool for connecting Microsoft Word to statistical programs (R/R Markdown, Python, SAS, Stata) so that results may be automatically updated in a manuscript. MATERIALS AND METHODS: We developed StatTag for Windows as a Microsoft Word plug-in using C# and for macOS as a native application using Objective-C. Source code is available under the MIT license at https://github.com/stattag. RESULTS: StatTag links analysis file(s) (R/R Markdown, SAS, Stata, or Python) and a Word document, invokes the statistical program(s) to obtain results, and embeds selected output in the document. StatTag can accommodate multiple statistical programs with a single document and features an interface to view, edit, and rerun statistical code directly from Word. DISCUSSION AND CONCLUSION: StatTag may facilitate reproducibility within increasingly multidisciplinary research teams, improve research transparency through review and publication, and complement data-sharing initiatives. |
format | Online Article Text |
id | pubmed-7660954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76609542020-11-18 Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word Welty, Leah J Rasmussen, Luke V Baldridge, Abigail S Whitley, Eric W JAMIA Open Application Notes OBJECTIVES: To enhance reproducible research by creating a broadly accessible, free, open-source software tool for connecting Microsoft Word to statistical programs (R/R Markdown, Python, SAS, Stata) so that results may be automatically updated in a manuscript. MATERIALS AND METHODS: We developed StatTag for Windows as a Microsoft Word plug-in using C# and for macOS as a native application using Objective-C. Source code is available under the MIT license at https://github.com/stattag. RESULTS: StatTag links analysis file(s) (R/R Markdown, SAS, Stata, or Python) and a Word document, invokes the statistical program(s) to obtain results, and embeds selected output in the document. StatTag can accommodate multiple statistical programs with a single document and features an interface to view, edit, and rerun statistical code directly from Word. DISCUSSION AND CONCLUSION: StatTag may facilitate reproducibility within increasingly multidisciplinary research teams, improve research transparency through review and publication, and complement data-sharing initiatives. Oxford University Press 2020-11-06 /pmc/articles/PMC7660954/ /pubmed/33215069 http://dx.doi.org/10.1093/jamiaopen/ooaa043 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Notes Welty, Leah J Rasmussen, Luke V Baldridge, Abigail S Whitley, Eric W Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word |
title | Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word |
title_full | Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word |
title_fullStr | Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word |
title_full_unstemmed | Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word |
title_short | Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word |
title_sort | facilitating reproducible research through direct connection of data analysis with manuscript preparation: stattag for connecting statistical software to microsoft word |
topic | Application Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660954/ https://www.ncbi.nlm.nih.gov/pubmed/33215069 http://dx.doi.org/10.1093/jamiaopen/ooaa043 |
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