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Data science is defined by its interdisciplinarity. Our work can only reach its highest potential if there are diverse teams of people involved in designing and delivering the research or product.

There are many different skills required to work well in groups with a wide range of expertise. In this guide, we welcome contributions in developing guidance on following (but not limited to) topics:

1. Designing a project that welcomes contributions
2. Distributed collaboration on GitHub
3. Reviewing team member’s contributions
4. Remote working
5. Running an inclusive event
6. Chairing a meeting
7. Defining explicit expectations
8. Participatory co-creation