Reproducibility in 2023 - An End-to-End Template for Analysis and Manuscript Writing

Stud Health Technol Inform. 2023 May 18:302:58-62. doi: 10.3233/SHTI230064.

Abstract

Reproducibility imposes some special requirements at different stages of each project, including reproducible workflows for the analysis including to follow best practices regarding code style and to make the creation of the manuscript reproducible as well. Available tools therefore include version control systems such as Git and document creation tools such as Quarto or R Markdown. However, a re-usable project template mapping the entire process from performing the data analysis to finally writing the manuscript in a reproducible manner is yet lacking. This work aims to fill this gap by presenting an open source template for conducting reproducible research projects utilizing a containerized framework for both developing and conducting the analysis and summarizing the results in a manuscript. This template can be used instantly without any customization.

Keywords: Computer and information sciences; Container; Data sharing; Reproducibility; Template.

MeSH terms

  • Data Analysis
  • Reproducibility of Results
  • Software*
  • Workflow
  • Writing*