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Published by CLOSER
CLOSER, the interdisciplinary partnership of leading social and biomedical longitudinal population studies, brings you insights and collaboration from cross-data infrastructures.
On the charts
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From the feed
The latest episodes published to this podcast’s own RSS feed. Titles and descriptions are the publisher’s.
In this two-parter, we bring together a panel of experts to discuss how combining different types of data is revolutionising research. We cover the breakthroughs happening when different datasets talk to each other, the challenges researchers face, and the innovative solutions making this treasure trove of information more accessible, useable and useful. On the panel are: Robin Flaig (UK Longitudinal Linkage Collaboration & Generation Scotland), Prof Ruth Gilbert (University College London), Emma Gordon (Administrative Data Research UK), and Prof Jennifer Symonds (CLOSER). In this episode, our experts discuss the challenges faced from the perspective of the public, data users, and the technical challenges to overcome.
In this two-parter, we bring together a panel of experts to discuss how combining different types of data is revolutionising research. We cover the breakthroughs happening when different datasets talk to each other, the challenges researchers face, and the innovative solutions making this treasure trove of information more accessible, useable and useful. On the panel are Robin Flaig (UK Longitudinal Linkage Collaboration & Generation Scotland), Prof Ruth Gilbert (University College London), Emma Gordon (Administrative Data Research UK), and Prof Jennifer Symonds (CLOSER). In this episode, our experts share insights gained from a wide variety of linked data, spanning population survey data, administrative data, and health data.
Ranking source
Apple Podcasts rankings via the Mato Topic Intelligence Platform.
Observed November 4, 2026.
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