Techniques for Data Linkage and Anonymisation – A Funders View Turing Gateway Meeting 23 rd October 2014 Dr Mark Pitman.

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Presentation transcript:

Techniques for Data Linkage and Anonymisation – A Funders View Turing Gateway Meeting 23 rd October 2014 Dr Mark Pitman

Informatics Tipping Point Researcher Compute Disseminate Data ‘Big’ Data & Compute ‘Big’ Data & Compute Research Networks Research Networks Disseminate Hypothesis Hypotheses

Vision of an integrated informatics research landscape Enabling technologies & infrastructure Developing capacity & expertise Funding for innovative research Omics Cohorts Trials BioBanks Educational Environmental Social Data NHS Clinical Data Patient groups Demographic data Data sharing with appropriate governance

Issues for use of data in research Public trust – care.data Multiple uses of NHS data – audit, commissioning, research Proposed amendments to EU Data Regulation - Cohorts would need consent for all studies using their data Consultation on safe havens

Sharing your patient record can help researchers save and improve lives

Safe havens – trustworthy environments Provide secure environments for handling data Ensure risks of identification are minimised Access only to those who meet certain requirements Security - technical and professional standards Audit data use SAFE DATA

Farr Institute of health informatics research £19m funding in MRC coordinated 10 funders call to fund four health informatics research centres (eHIRCS) Manchester, UCL, Dundee, Swansea – 24 universities, 2 MRC Units Aim of the HIRCs Analyse & link health records with research data and other datasets Build capacity in data linkage and health informatics research Additional £20m capital to create distributed virtual institute across the four eHIRCs - Farr Institute of Health Informatics Research Joint strategy across Farr Sites Digital infrastructure and safe environments to share data Physical co-location of academics and NHS

Farr London UCL, LSHTM, Queen Mary, Public Health England Farr Scotland Dundee, Glasgow, Edinburgh, St Andrews, Aberdeen, Strathclyde, MRC HGU, NHS NSS Farr CIPHER Swansea, Bristol, Cardiff, Exeter, Leicester, Sussex, NWIS, Public Health Wales HeRC N8 Manchester, York, Lancaster, Liverpool, Sheffield, AHSNs

Aims: Integration between genomics, complex phenotypes, and clinical data New infrastructure, tools, increased coordination and sharing capabilities Support career opportunities for computational scientists, technologists £39m capital and resource - 6 awards MRC/UVRI Uganda Research Unit UCL (incl. EMBL - Francis Crick Institute, EBI) University of Leeds University of Oxford University of Warwick (incl. Swansea, Cardiff) Imperial College Medical Bioinformatics call

Other MRC data research investments Population and patient cohorts and clinical trials Over 2.2m people in the UK participate in population cohort studies High throughout science – omics, imaging, Phenome centre Stratified medicine UK Dementia Platform – integral informatics component Clinical Research Infrastructure call £24m Genomics England Data Centre

The landscape of health informatics to support research DH – Leading the nation’s health and care

Network outward facing - engaging the wider research and stakeholder communities Each workstream is co-chaired by Farr and an expert outside the Farr Workstreams Methodology Best practice in governance Public engagement Capacity building Partnership building – NHS, industry Cohort study linkage development Communication UK Health Informatics Research Network

Anticipated impact of informatics investments UK leadership Transformational science at scale Greater interoperability through use of standards Integration of heterogeneous data New partnerships – academic, NHS and industry Increase UK skill base Economic growth Public and patient advocacy