Tracking and Managing Research Datasets with Git focuses on using version control to organize, store, and maintain research data efficiently. Git helps researchers track changes in datasets, code, and analysis workflows over time. This training explains how to structure repositories for datasets, manage versions using commits and branches, and collaborate effectively across teams. It also covers best practices for handling large files using Git extensions like Git LFS and maintaining data integrity. You will learn how to ensure reproducibility, transparency, and traceability in research projects. The course also highlights how Git supports collaboration, experiment tracking, and reliable data management in research environments.
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