Data Safe Havens are an essential way of managing risk of unauthorised re-identification of individuals from de-identified data. This risk heightens with increased data linkage across a wider range of data sets. To date most of the focus of Data Safe Havens has been on the people, processes and technology required to deliver effective Information Security.

Our aim is for the Alliance Trusted Research Environments (TRE) to be more than Data Safe Havens by meeting researcher and Alliance members’ technical and functionality requirements both now and in the future. This could include research needs for Machine Learning capability, High Performance Computing or High Throughput Computing e.g., for analysis of genetic and imaging data.

Our initial activity is to develop a green paper on future options for UK Health Data TREs for Alliance member organisations to consider. This will incorporate the outputs from a baselining exercise across existing environments, an understanding of current and future researcher needs and horizon scanning likely technological developments that will influence TRE provision, in conjunction with other parties engaged in similar work.

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