About Us

Health Data Research UK is the national institute for health data science based at 31 locations across the country. HDR UK Wales is led by Swansea University with a cross-disciplinary team based in sites across Wales, collaborating in the use of large scale data for public good.

We work together to use health data for the public good and involve the public and patients in our research from inception to impact.

Leads

HDR UK Wales Co-Lead:
Professor Sinead Brophy

Professor Sinead Brophy is Professor of Public Health Data Science at Swansea University Medical School, Director of the Centre for Population Health and Lead of Early years in the Administrative Data Research Partnership Wales and Co-Director of Training.

Her area of expertise lies in population health, epidemiology, Big Data analytics and linking research data (cohort, trials, surveys) with routine health and administrative data.

Her research interests focus on using routine linked data to take a life course (from birth, to school, to work, to retirement) approach to population health. She is especially interested in evidence based interventions and improving the use of existing data especially in maternal and child health.

HDR UK Wales Co-Lead:
Professor
Dr Richard Fry

Dr Rich Fry is a Senior Lecturer in GIS and Health Geographies and the Postgraduate Admissions Tutor for the Medical School. Rich graduated with a BSc (Hons) Physical Geography from Swansea before completing an MSc and PhD in GIS and computing at the University of South Wales following some time out in industry. Following a post-doctoral position at the Wales Institute for Socio-Economic Research, Data and Methods (WISERD) he returned to Swansea, joining the Medical School as a Senior Research Officer specialising in GIS and privacy protecting spatial data linkage. Rich currently leads geography and health research for substantive sites including HDR UK Wales and Northern Ireland, ADR Wales and the National Centre for Population Health and Wellbeing. Rich teaches on several courses including GIS (GEGM22), PM-344 Capstone and PMIM 102 Scientific Computing and Health Care. He is module lead for PMIM502 for Health Data Visualisation.

Partners

Our partners are research institutions with strong, complementary strengths in public/population health and discovery science/precision medicine.  We run a multi-disciplinary approach with collaboration at its core.

One of our greatest strengths is our close partnership with the SAIL Databank. The SAIL Databank is a Trusted Research Environment (TRE) with among the richest population data in the world.
Find out more (link to SAIL website: https://saildatabank.com/)

We are collaborative to the core and work best in partnership with other like-minded groups. Feel free to discuss a potential alliance.