Enhancing Data Support: Practical Reproducibility, Part 2

Welcome to a practical introduction to tools and techniques that support computational reproducibility in general and in data management workflows.

This session will provide a glimpse into version control with Git(-Hub) and the use of Jupyter Notebooks for reproducibility.

By the end of this training, you will be able to:

• Understand the basic principles of version control and interactive computing platforms to support computational reproducibility.
• Utilize the basic features of Git(-Hub) and Jupyter notebooks.
• Know where those tools can be run and found.

Who Should Attend:

This training is ideal for data support personnel and librarians who want to gain practical knowledge on supporting research reproducibility. Researchers are also very welcome.

Skill Level: Novice

Materials: This training incorporates learning materials from the CodeRefinery and Skills4EOSC projects.