Trusted Research Environments (TRE): removing technical and governance barriers to support innovation and interdisciplinary research

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The project will be led by the DataLoch team at the University of Edinburgh, in collaboration with Public Health Scotland (PHS). DataLoch is a data service that curates health and social care data for 1.6m people in South-East Scotland. Approved applicants receive de-identified data extracts via the National Safe Haven - a Trusted Research Environment (TRE) managed by PHS Electronic Data Research and Innovation Service (eDRIS). However, this TRE was designed primarily for clinical or academic researchers, using traditional statistical software. It does not cater for other ‘non-traditional’ researchers or innovators from different disciplines, including software developers, experts in artificial intelligence (AI) or those from third- and private-sector organisations.This project will explore barriers to the use of TREs by non-traditional researchers from different disciplines and will deliver a prototype solution and user training module for DataLoch operating alongside the National Safe Haven. We will then produce a lessons learned report with recommendations for TREs across the United Kingdom, based on the following questions:1. What is expected from non-traditional TRE users to be considered trustworthy and credible? What public concerns exist about their use of TREs? What user accreditation standards are required?2. What additional technical security is required from a TRE to support research and innovation projects from different disciplines or organisations?3. What additional information governance is required to support TRE access from non-traditional researchers?