Reproducibility in 2023 - An End-to-End Template for Analysis and Manuscript Writing.
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| Název: | Reproducibility in 2023 - An End-to-End Template for Analysis and Manuscript Writing. |
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| Autoři: | MANG, Jonathan M., PROKOSCH, Hans-Ulrich, KAPSNER, Lorenz A. |
| Zdroj: | Studies in Health Technology & Informatics; 2023, Vol. 302, p58-62, 5p |
| Abstrakt: | 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 reusable 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Studies in Health Technology & Informatics is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Databáze: | Complementary Index |
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