Working paper Open Access

Trusted Research Environments (TRE) Green Paper

Tim Hubbard; Gerry Reilly; Susheel Varma; David Seymour


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4594704", 
  "language": "eng", 
  "title": "Trusted Research Environments (TRE) Green Paper", 
  "issued": {
    "date-parts": [
      [
        2020, 
        7, 
        21
      ]
    ]
  }, 
  "abstract": "<p>Project</p>\n\n<p>Aligning approach to Trusted Research Environments</p>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>\n\n<p>Share this page</p>\n\n<p>&nbsp;</p>\n\n<p>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.&nbsp;</p>\n\n<p>Our aim is for Alliance Trusted Research Environments (TRE) to be more than Data Safe Havens by meeting researchers&rsquo; technical and functionality requirements both now and in the future, whilst providing confidence to data custodians and the public through implementing a rigorous system of data access based on an evolution of the Five Safes model. This evolution is required to meet research needs for Machine Learning capability, High Performance Computing or High Throughput Computing e.g., for analysis of genetic and imaging data, and also to support the convergence of research and care to enable a future of personalised medicine.&nbsp;</p>", 
  "author": [
    {
      "family": "Tim Hubbard"
    }, 
    {
      "family": "Gerry Reilly"
    }, 
    {
      "family": "Susheel Varma"
    }, 
    {
      "family": "David Seymour"
    }
  ], 
  "version": "2.0.0", 
  "type": "article", 
  "id": "4594704"
}
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