IJPDS International Journal of Population Data Science IJPDS 2399-4908 Swansea University 10.23889/ijpds.v9i5.2925 9:5:427 Exploring public views on the use of synthetic datasets for research - results from the DELIMIT study Andersen Anne-Marie Nybo 1 Aradhya Siddartha 2 Bilsteen Josephine Funck 1 Bowden Nick 3 Early Erin 4 Falster Kathleen 5 Flatø Martin 6 French Rob 7 Hagemann Erika 8 Harron Katie 9 Keating Jen 10 Mika Gissler 11 Mitchell Rebecca 12 Montgomerie Alicia 13 Nickell Nathan 14 Papanicolas Irene 15 Pilkington Rhiannon 13 Romitti Paul 16 Ratnasingham Sujitha 17 Smithers Lisa 18 Valdés Nieves 19 Wilson Ben 20 Department of Public Health, University of Copenhagen, Denmark Stockholm University Demography Unit, Sweden University of Otago, New Zealand Ulster University, Northern Ireland School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia Norwegian Institute of Public Health, Oslo, Norway School of Social Sciences, Cardiff University, Wales The University of Western Australia, Australia UCL, England Cardiff University, Wales THL Finnish Institute for Health and Welfare, Finland Australian Institute of Health Innovation, Macquarie University, Australia BetterStart Health and Development Research,School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Australia Max Rady College of Medicine, Department of Community Health Sciences, University of Manitoba, Canada Brown University, USA Iowa Registry for Congenital and Inherited Disorders, Department of Epidemiology, University of Iowa, USA ICES, University of Toronto, Canada School of Public Health, The University of Adelaide UAI, Chile Stockholm University Demography Unit, Sweden 18 09 2024 2024 9 5 2919 This work is licenced under a Creative Commons Attribution 4.0 International License. This article is available from the IJPDS website at: https://ijpds.org/article/view/2919 Objectives

To understand how we can better initiate and run international collaborations to deliver tangible and impactful findings using population-wide linked health and education data.

 Approach

Representatives from 14 countries (America, Australia, Canada, Chile, Denmark, England, Finland, Germany, New Zealand, Northern Ireland, Norway, Scotland, Sweden, Wales) summarised the potential for research using their linked administrative health and education data. The scope for collaboration and comparison of research findings across countries was explored.

 Results

Several substantive research themes emerged, including the quantifying of differences in educational outcomes by health conditions and other early life factors, using health data to better identify and explore the special educational needs identified in educational records, using linked health and education data to identify and explore reasons for absenteeism from school.

 Conclusions

The workshop showcased the primary themes for research and the data assets available within each country for comparative work. Further work is required to more robustly document the available detail within these datasets, collaboratively develop protocol templates for comparative studies, and develop pilot, proof of concept, studies.