Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word

被引:3
作者
Welty, Leah J. [1 ]
Rasmussen, Luke, V [2 ]
Baldridge, Abigail S. [3 ]
Whitley, Eric W. [3 ]
机构
[1] Northwestern Univ, Dept Prevent Med, Div Biostat, Feinberg Sch Med, Chicago, IL 60611 USA
[2] Northwestern Univ, Dept Prevent Med, Div Hlth & Biomed Informat, Feinberg Sch Med, Suite 1100,750 North Lake Shore Dr, Chicago, IL 60611 USA
[3] Northwestern Univ, Dept Prevent Med, Feinberg Sch Med, Chicago, IL 60611 USA
基金
美国国家卫生研究院;
关键词
dynamic documents; reproducible research; open science; software;
D O I
10.1093/jamiaopen/ooaa043
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:342 / 348
页数:7
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