Contributing
Contributing to Applied Data Science (R)
Contributions are welcome for:
- content corrections
- clearer explanations, examples, or exercises
- accessibility and usability improvements
- updated installation guidance or broken links
- improvements that make the local course flow clearer for researchers
How to Contribute
- Create a new branch in your desktop copy of this repository for each significant change, or open an issue first if you want to discuss the idea.
- Commit the change in that branch.
- Push that branch to your fork of this repository on GitHub.
- Submit a pull request with a concise summary of what changed and why.
- If you receive feedback, update the same branch so the pull request stays in one place.
What Makes a Good Contribution
- Keep the material practical for researchers learning R.
- Prefer improvements in clarity and teachability over adding more content.
- Keep setup steps and platform-specific instructions current.
- If you adapt outside material, keep the attribution intact.
- If a change is specific to the local UoN version, say so clearly in the pull request.
Adapted Source Material
This course is substantially adapted from Software Carpentry’s r-novice-inflammation lesson. Some improvements may only belong in this local version, while others may also be relevant upstream.
Licensing and Attribution
By contributing to this course, you agree that your contribution can be published under the terms described in LICENSE.qmd.