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

Mang J, Prokosch HU, Kapsner L (2023)


Publication Type: Journal article

Publication year: 2023

Journal

Book Volume: 302

Pages Range: 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.

Authors with CRIS profile

How to cite

APA:

Mang, J., Prokosch, H.-U., & Kapsner, L. (2023). Reproducibility in 2023 - An End-to-End Template for Analysis and Manuscript Writing. Studies in health technology and informatics, 302, 58-62. https://doi.org/10.3233/SHTI230064

MLA:

Mang, Jonathan, Hans-Ulrich Prokosch, and Lorenz Kapsner. "Reproducibility in 2023 - An End-to-End Template for Analysis and Manuscript Writing." Studies in health technology and informatics 302 (2023): 58-62.

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