OCR – Online Collaborative Resources
Welcome
The course OCR (Online Collaborative Resources) introduces tools and practices for reproducible and collaborative science.
It is designed for students who want to learn how to:
- Organize their work for transparency and reproducibility
- Use version control systems such as Git
- Collaborate effectively on shared projects
- Document analyses and results in a reproducible way
Course content
During this course, you will explore:
Introduction
Why reproducibility and collaboration matter in science, and the main challenges researchers face.Setting up your framework
Installing and configuring the software environment (Git, Quarto, etc.).Git basics (working alone)
Understanding repositories, commits, and tracking changes in your own projects.Working collaboratively
Using branches, pull requests, and collaborative workflows on shared repositories.Final assignment
Applying what you learned in a collaborative project.
Final Assignment
The final project of this course is to collaboratively produce a set of reminders about basic statistical concepts.
- Each student will write a short note (max 1 page) on a chosen concept (e.g., mean, variance, regression, probability).
- Notes will be written in Quarto (
.qmd) files inside a shared repository.
- You will practice Git collaboration by creating branches, making commits, and opening pull requests.
- You are also requested to review others’ production and provide useful comments, accet or not pull requests
- At the end, all contributions will be merged into a collective resource: a mini-encyclopedia of statistics reminders.
This project will allow you to experience real-world collaborative workflows while reinforcing key concepts in statistics.
How to use this website
Use the top menu to navigate through the course:
- Introduction – motivations and context
- Set up your framework – installing tools
- Basics in git, working alone – first steps with Git
- Working collaboratively – branches, merges, pull requests
- Final assignment – description of the project and instructions
- Stats Reminders – where all student contributions will appear