From data analysis to publication: Reproducible research with R and Quarto
Research is most valuable when others can understand it, reproduce it, and build upon it.
Yet many research workflows still rely on disconnected files, manual copy-and-paste steps, and documents that are difficult to update or share.
In this workshop, we will explore how R and Quarto can help create reproducible research workflows that take you from data analysis to publication using open-source tools.
Participants will learn how to integrate code, results, figures, tables, and narrative into a single document, making it possible to generate academic manuscripts, technical reports, presentations, and even theses from the same source.
By combining analysis and writing in a reproducible workflow, researchers can improve transparency, reduce errors, and make their work easier to maintain and share.
🎯During the session, we will cover:
Creating reproducible research documents with Quarto
Combining R code, results, figures, and narrative
Generating reports, manuscripts, presentations, and other outputs
Organizing research projects for transparency and reproducibility
Sharing and publishing research using open-source tools
This workshop is designed for undergraduate and graduate students, early-career researchers, and anyone interested in adopting reproducible research practices.
Whether you are preparing a thesis, writing a manuscript, or creating analytical reports, this session will provide practical tools to streamline your workflow and improve the reproducibility of your work.
🛠Requirements
To follow along, please install:
- R
- RStudio
- Quarto CLI
- A GitHub account (optional, but recommended)