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Managing Open and Reproducible Computational Projects
Managing Open and Reproducible Computational Projects
Key Points
Glossary
Learner Profiles
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Discussion
FAIR How-Tos for data and software
Kanban Boards for Project Management
What Code Review Looks Like in GitHub
Data Wrangling and exploration
Managing Open and Reproducible Computational Projects
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Instructor View
EPISODES
Summary and Setup
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
Current Chapter
16. Data and code citation
RESOURCES
Key Points
Glossary
Learner Profiles
Discussion
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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Data and code citation
Last updated on 2023-03-22 |
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Overview
Questions
How should I mention and cite the software or data I am using
Objectives
Learn why and how to cite the work of others
Keypoints
Best practices in citing code and data
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Previous: Open Science
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