Reproducible research and collaboration in git + Github for Rstudio users
Participants will practice creating a GitHub repository and adding/editing code and text in Rstudio. A few tools will be provided to help them take in these practices and apply them in their everyday workflows. As a result, they are expected to have resources to help them make their research more open and reproducible, including the whole research workflow and not just its outcomes.
Outline:
- Creating a repository in GitHub.
- Cloning the repository locally with Rstudio.
- Tracking changes.
- A few good practices for versioning research projects.
Intended audience: Participants should ideally be proficient in R (or Python); if they are not familiar with these, they can still participate but they will not be able to get the full potential from it. For best use of the workshop, a "BYOP" (Bring your own project) format is encouraged: Participants can use their own data, script(s), notebook(s), and/or computable documents.