This workshop aimed to provide an overview of the opportunities and challenges inherent in cross-study research, with a particular focus on data harmonisation.
About the workshop
We ran one-day workshop focussing on the opportunities, and the challenges, that come with cross-study research. The event looked particularly at these issues in relation to data harmonisation. The session was led by Professor Rebecca Hardy.
The workshop was hosted by the Data, Skills and Training Research Group in the Cathie Marsh Institute for Social Research at the University of Manchester.
Introduction to the workshop, key themes from the day and where to next – Prof Rebecca Hardy, UCL
Session 1: CLOSER data harmonisation
- Harmonisation of measures of childhood environment and adult mental wellbeing across three British birth cohorts – Dr Natasha Wood, CLOSER
- Time trends and associations of visual outcomes with risk factors in early childhood: the challenges of harmonisation – Dr Vasiliki Bountziouka, UCL
Session 2: Cross-study research: examples
- What do we learn from international comparative studies in relation to understanding the social determinants of health? – Prof Tarani Chandola, University of Manchester
- Over a decade of cross cohort work: the IALSA experience – Dr Graciela Muniz-Terrera, University of Edinburgh
CLOSER: Our role and the resources we offer for cross-study research – Dr Dara O’Neill, CLOSER
If you have any questions about this event, please contact Jennie Blows (email@example.com).
Professor Rebecca Hardy,
Professor of Epidemiology and Medical Statistics
Rebecca is Professor of Epidemiology and Medical Statistics and a programme leader at the MRC Unit for Lifelong Health and Ageing at UCL. Rebecca’s research investigates how risk factors from across the life course influence cardiovascular ageing and development of CVD. With a background in statistics, Rebecca is also interested in the methodology for the analysis of life course data and for cross-cohort comparisons. She has co-authored several of the key texts in life course epidemiology.