TY - JOUR
T1 - Facilitating reproducible research through direct connection of data analysis with manuscript preparation
T2 - StatTag for connecting statistical software to Microsoft Word
AU - Welty, Leah J.
AU - Rasmussen, Luke V.
AU - Baldridge, Abigail S.
AU - Whitley, Eric W.
N1 - Funding Information:
StatTag was developed within the Northwestern University Clinical and Translational Sciences Institute, supported in part by the National Institutes of Health’s National Center for Advancing Translational Sciences (grant UL1TR001422).
Publisher Copyright:
© The Author(s) 2020.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Dynamic documents
KW - Open science
KW - Reproducible research
KW - Software
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U2 - 10.1093/JAMIAOPEN/OOAA043
DO - 10.1093/JAMIAOPEN/OOAA043
M3 - Article
AN - SCOPUS:85101309164
SN - 2574-2531
VL - 3
SP - 342
EP - 348
JO - JAMIA Open
JF - JAMIA Open
IS - 3
ER -