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Managing Open and Reproducible Computational Projects

Managing Open and Reproducible Computational Projects
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Managing Open and Reproducible Computational Projects

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EPISODES

Summary and Schedule

1. Introduction to this course

2. Better and faster research !

3. What is special in data science project ?

4. Reproducibility

5. An introduction to version control

6. Setting up a computational project

7. Implementing tools and methods during the project

8. Research Data Management

9. Fostering documentation

10. Scientific rigour with code

11. Coding basics

12. Code testing and Review

13. Code Modularity

14. Publication and release

15. Open Science Practices

16. Data and code citation

Key Points
Instructor Notes
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FAIR How-Tos for data and software
Kanban Boards for Project Management
What Code Review Looks Like in GitHub
Data Wrangling and exploration

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Last updated on 2023-02-13 | Edit this page

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