Overview of Reproducibility Lecture

Dr. Sarah Stevens’ lecture highlights the critical importance of reproducibility in computational and data science projects. She also shares best practices to ensure reproducible results including:

• How to organize your project
• Good names for files/folders
• Documenting your work and README files
• How to organize data in spreadsheets and use data dictionaries
• Automation with scripts
• Version control
• Licensing
• Creating backups

Questions

If you have any lingering questions about this resource, please feel free to post to the Nexus Q&A on GitHub. We will improve materials on this website as additional questions come in.

Related resources

• Guide: Version Control with GitHub Desktop: GitHub Desktop is a graphical user interface (GUI) application that simplifies the use of Git and GitHub. It is designed for users who prefer not to use the command line interface, offering a more intuitive and visual approach to version control. With GitHub Desktop, you can easily perform common Git tasks such as committing changes, creating branches, and resolving merge conflicts, all within a user-friendly interface.
• Workshop: Intro to Version Control with Git: If you’re curious to learn how to use Git via shell commands (or just want to become more fluent with Git), check out this YouTube playlist from the Data Science Hub!