Developing and Publishing Code for Trusted Research Environments

Best Practices and Ways of Working


This report discusses 3 distinct, but overlapping topics. Firstly, it recommends the tools and best practices for research software engineering and data science that are most relevant to the researchers working on the Wales Multimorbidity Machine Learning (WMML) project. Secondly, it expands upon these recommendations for the specific use case of Trusted Research Environments (TREs), with development workflows for computational research in TREs offered that respect and complement existing best practices. Finally, it discusses the considerations around publishing research code that is developed to run within a TRE on sensitive data, offering practical advice that researchers using TREs can follow.

Citation information

Ed Chalstrey, Research Data Scientist, Research Engineering Group, The Alan Turing Institute. October 2021.

Turing affiliated authors