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Data sharing: Make sure that everyone in the team can access and work with the same data files. If you're using a OneDrive folder, check that the files are syncing properly and that everyone has the same access rights.

Model versioning: Ensure that each team member is using the same version of the R packages, and that the code and models are all up-to-date. This will avoid any compatibility issues and help to maintain consistency across the project.

Team communication: Establish clear communication channels so that everyone is aware of what other team members are working on, and what the current state of the project is. GitHub has a built-in feature for this - use the 'issues' tracker to log and discuss any issues that arise.

Coding best practices: Establish coding standards and stick to them. This includes proper documentation, modular code design, and clear variable naming conventions. This will make it easier for other team members to read and understand your code.

Project management: Use tools like Trello or Asana to manage tasks and deadlines, and to track progress. This will help to ensure that the project stays on track and that everyone is working towards the same goals.