git-workflow

To set up a Git repository structure for a research project, you should use a standardized directory layout that organizes data, analysis scripts, and paper writing separately to ensure clear tracking of changes and efficient collaboration.

The best way to enforce consistent Git commit messages is to adopt Conventional Commits standards, which provide a uniform format for better readability, automated processing, and clear history of project changes across team members.

To version control large datasets alongside your code in Git, integrate Data Version Control (DVC) or Git LFS to manage large data files efficiently without bloating the repository history.

For feature development and bug fixes, you should implement clear branching strategies that separate feature branches, bug fix branches, and release branches to maintain project integrity and streamline collaboration.

To resolve Git conflicts when collaborating on analysis scripts, follow established conflict resolution best practices that enforce structured merging workflows, ensuring code integrity and a clear history of changes across the team.

Yes, you can use this Git workflow for preparing research replication packages, as it standardizes directory structure, data versioning with DVC or Git LFS, and commit history to ensure all collaborators can track and reproduce analysis changes.