How has data linkage made this research possible?
"Around the time that I was starting to design the study, CHI-UPRN linkage – known as CURL – was becoming available.
“For the first time ever, we could link healthcare records with every home a child had ever lived in. That was huge.
“Before CURL, most analyses looking at children’s homes had largely relied on postcode or neighbourhood-level information. It’s a good start, but it only tells you about the area, not an individual home. It’s hugely important from a policy perspective that we get as granular data as we possibly can.
"I like to describe the CURL file as a washing line that you can peg different datasets onto. Once that washing line existed, suddenly you could connect information in ways that weren't possible before.
“The project brings together information from health, housing, energy and environmental datasets, creating opportunities to answer questions that would have been impossible before.”
How did you go about building the study?
“I successfully applied for a Wellcome Trust fellowship which began at the end of 2024. The year before that started, I spent most of my time trying to work out what data existed. Because these different types of data aren’t normally linked up, there were huge amounts of information out there that had never been combined. Now there were all of these wonderful opportunities.
"I wrote a lot of cold-call emails to people in the Scottish Government and the Department for Energy Security and Net Zero outlining what I wanted to do and why I needed the data. The responses were phenomenal. The data controllers themselves could see the potential public benefit. The response was often, 'Yes, we get this. Let us help.'"
Energy datasets are crucial to the project. They provide information not only on how energy efficient a property is but also how much energy the household is actually using, which helps researchers to understand the difference between a house that is efficient on paper and one that is warm enough for the people living there. Without those datasets, Olivia says, the study simply would not be possible.