For effective collaboration among international groups, such as in the Data Science Without Borders project, it is essential to learn, adopt, and implement best practices in open, reproducible, ethical, and inclusive data science. These curated chapters will provide starting points, helping you navigate a broader set of practices in The Turing Way.
Table Of Contents¶
These are the pages curated for DATA SCIENCE WITHOUT BORDERS
- Guide for Reproducible Research - Definitions
- Guide for Project Design
- Guide for Communication
- Guide for Collaboration
- Getting Started With GitHub
- Maintainers and Reviewers on GitHub
- Organising Remote Meetings
- Organising Coworking Calls or Meetings
- Organising a Conference
- Chairing Events
- Tools for Collaboration
- Facilitating Stakeholder Engagement
- Team Manuals
- Remote Collaboration
- Shared Ownership in Open Source Projects
- Introduction to Research Ethics
- Law, Policy and Human Rights in Ethics
- Cultural Change
- Ethical Considerations when Choosing an Open Source Governance Model