Materials for the 2021 GESIS workshop "Tools and Workflows for Reproducible Research in the Quantitative Social Sciences"
by Bernd Weiß, Johannes Breuer, and Arnim Bleier
The focus of the course is on reproducible research in the quantitative social and behavioral sciences. Reproducibility here means that other researchers can fully understand and (re-)use your statistical analyses. The workflows and tools covered in this course will, ultimately, also facilitate your own work as they allow you to automate analysis and reporting tasks. The goal of this course is to introduce participants to tools and processes for reproducible research and enable them to make use of those for their own work.
In addition to a conceptual introduction to the processes and key terms around reproducible research, the focus in this course will be on procedures for making a data analysis with R fully reproducible. We will cover questions of organization (e.g., folder structures, naming schemes, documentation) as well as choosing and working with the tools for reproducible research (in addition to R and RStudio): Git & GitHub, LaTeX, R Markdown, Jupyter Notebooks, and Binder).
The workshop is targeted at participants who have (at least some) experience with R and want to learn (more) about workflows and tools for making the results of their research reproducible.
By the end of the course participants should be...
- familiar with key concepts of reproducible research workflows
- able to (start) work(ing) with tools for reproducible research, such as
Git,LaTeX,R Markdown,Jupyter Notebooks, andBinder - able to publish reproducible computational analysis pipelines with
R
Participants should have some basic knowledge of R. While this is not required, participants who have experience with doing statistical analysis in R will benefit most from this course.
| Time | Topic |
|---|---|
| 10:00 - 10:30 | Introduction: What is reproducible research? |
| 10:30 - 11:15 | Technical basics |
| 11:15 - 11:30 | Break |
| 11:30 - 12:30 | Introduction to Git |
| 12:30 - 13:30 | Break |
| 13:30 - 14:30 | Git & RStudio |
| 14:30 - 15:30 | Data wrangling with the tidyverse |
| 15:30 - 15:45 | Break |
| 15:45 - 17:00 | Introduction to R Markdown |
| Time | Topic |
|---|---|
| 10:00 - 11:15 | Introduction to LaTeX |
| 11:15 - 11:30 | Break |
| 11:30 - 12:30 | Advanced R Markdown & LaTeX |
| 12:30 - 13:30 | Break |
| 13:30 - 14:45 | Jupyter Notebooks & Binder |
| 14:45 - 15:00 | Break |
| 15:00 - 16:00 | Build your own Binder |
| 16:00 - 17:00 | Recap & Outlook |
Introduction - Substantive (link will work only temporarily)
Technical basics (link will work only temporarily)
Introduction to Git (link will work only temporarily)
Introduction to LaTeX (PDF slides in English, PDF slides in German)