Scientific Reproducibility 2: Version Control

Version control tools like Git are essential for scientific reproducibility by tracking exact changes to code, data pipelines, configuration files, and analysis scripts, enabling researchers to recreate prior results precisely. This could cover Git basics (init, commit, branch, merge) tailored to research use cases, then cover best practices like atomic commits, meaningful messages, .gitignore for…