Explore The Turing Way, an online handbook to reproducible, ethical, and collaborative computational and data science.
| Resource information | Details |
|---|---|
| Resource name | The Turing Way |
| Website | The Turing Way |
| Publication | Latest Release: DOI (v1.2.3, April 2025) |
| Focus | Reproducible, ethical, and collaborative data science |
The Turing Way is a comprehensive handbook and global community focused on reproducible, ethical, and collaborative computational and data science. As of the v1.2.3 release (April 2025), the project has matured into five distinct guides supported by an extensive community handbook.
While applicable across all data-driven fields, the handbook has expanded its relevance to HPC and CSE through several key 2025 updates:
- AI and Machine Learning Governance: New sub-chapters covering Data Governance for the ML Pipeline and specialized Machine Learning Model Licensing.
- Environmental Sustainability: A critical new section regarding the "Environmental Impact of Digital Research."
- Ethics: Updated chapters on Research Data Management, Data Hazards, and other topics, and a global localization effort to ensure accessibility across languages and regions.
The handbook remains an open-source, community-driven project that involves a diverse global network of contributors. Its primary goal is to provide researchers, software engineers, and project leaders in academia and industry with the tools necessary to ensure their projects are easy to reproduce, reuse, and scale responsibly.
All stakeholders are encouraged to use The Turing Way to understand their roles and responsibilities in ensuring reproducibility. The "moonshot goal" of the project remains making reproducibility too easy not to do.
