10th Biennial ACSPRI Social Science Methodology Conference in conjunction with the Australian Social Network Analysis Conference (ASNAC)

Linked administrative data research in Australia and New Zealand
2026-11-24 –, Sutherland Room

This workshop will describe the current state of linked administrative data for research in Australia and New Zealand. The workshop will be of interest to anyone wishing to find out more about linked administrative data in Australia and New Zealand, and particularly those wanted to learn how to use these data in their own research. No specialist skills or knowledge are required.

Presenters will be from the Australian Bureau of Statistics, the Australian Institute of Health and Welfare, the Life Course Centre (Australia), Statistics New Zealand, and the Centre for Methods and Policy Application in the Social Sciences (New Zealand). All presenters have extensive experience in either using linked administrative data for research or curating linked administrative data to make such data available for research.

Sessions will
• Describe linked administrative data and discuss the strengths, limitations, and challenges of using these data for research
• Discuss administrative data initiatives that are underway to support research
• Describe existing large linked administrative data products, including the Person Level Integrated Data Asset (PLIDA) and the Integrated Data Infrastructure (IDI)
• Describe the discoverability of linked administrative data
• Showcase good research examples using linked administrative data from Australia and New Zealand.

Sessions will be interactive with an emphasis on discussion.

BARRY MILNE is Director of the Centre of Methods and Policy Application in the Social Sciences (COMPASS) at the University of Auckland. Barry’s research focusses on using life-course data to identify predictors for health and wellbeing outcomes, particularly in the area of mental health. His areas of expertise include linked administrative data, micro-simulation, longitudinal studies, socio-economic and ethnic inequalities, and child development.