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.

翻译：本报告讨论了三个不同但相互重叠的专题:第一,它建议研究软件工程和数据科学的工具和最佳做法,这些工具和最佳做法与威尔士多发机学习项目研究人员最为相关;第二,它进一步阐述了关于受信任研究环境具体使用案例的这些建议,在TRE的计算研究开发工作流程中提供了这种尊重并补充了现有的最佳做法;最后,它讨论了围绕出版研究守则的考虑,该守则是在敏感数据技术资源框架内开发的,为使用TRE的研究人员提供了实用建议。