The Turing Way is a comprehensive handbook and community initiative aimed at making data science reproducible, ethical, and collaborative. It targets students, researchers, engineers, and project leaders, providing practical guidance and best practices to ensure research outputs are verifiable and accessible.

How It Works

The project is structured as a book with multiple guides covering reproducible research, project design, communication, collaboration, and ethical research. Chapters are co-authored by a diverse community, focusing on practical skills like version control, data management, and transparent communication, with the overarching goal of making reproducibility "too easy not to do."

Quick Start & Requirements

• The book can be read online at https://the-turing-way.org/.
• Contributions are managed via GitHub: https://github.com/the-turing-way/the-turing-way.
• Community interaction is facilitated via Slack: https://slack.com/app_redirect?channel=C012033895F (invitation link not directly provided in README).

Highlighted Details

• Offers guides on Reproducible Research, Project Design, Communication, Collaboration, and Ethical Research.
• Actively promotes multilingual translations to increase global accessibility.
• Recognizes and credits all contributors through an established process.
• Supported by The Alan Turing Institute.

Maintenance & Community

The project is community-driven with a dedicated Project Delivery Team funded by The Alan Turing Institute. It actively encourages contributions and provides mentorship opportunities. Updates are shared via a mailing list and social media (Mastodon, Bluesky, LinkedIn).

Licensing & Compatibility

All materials are available under a CC-BY 4.0 license, permitting reuse and adaptation with attribution. This license is generally compatible with commercial use and closed-source linking.

Limitations & Caveats

The project is a living document and continuously evolving, with contributions from a wide range of individuals, which may lead to varying levels of detail or focus across different chapters.