Welcome to the UK Data Service

The 2025 TRE Community Conference was a huge success! Between 22-24 September, we discussed all aspects of TREs during the collaboration event, funded by DARE UK. The conference provided opportunity to hear from people across the UK and beyond, who are helping to build the next generation of research infrastructure for sensitive data.

Data from the 1958 National Child Development Study (NCDS) Age 62 Sweep are now available to download from the UK Data Service. The dataset includes information collected from more than 8,400 study participants between 2020 and 2024 when they were aged 61 to 65.

Join our free introductory training series every spring and autumn to introduce different aspects of the UK Data Service. Our training series workshops in autumn 2025 are listed on our news story and you can also browse our training and events pages for a full list of what is available.

In this Data Impact blog post, Rebecca Florisson, from the Work Foundation, discusses the issue of long-term insecure work.

This case study looks at the importance of social factors in mitigating disparities in the lives of young people in areas such as poverty, health, housing and discrimination.

The Children’s Society’s Good Childhood Reports provide an annual overview of the current state of children’s subjective well-being. Read about how they make use of data from our catalogue, in this case study.

Watch and learn all the latest data skills from our free webinars, training and video tutorials.

An introductory workshop designed to help participants understand the basics of managing research data effectively and responsibly. The workshop covers the key data principles FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, Ethics).

This workshop is an introduction to computational social science. A chance to understand and discuss what computational social science is, what it is good for, how to become a computational social scientist, and the basic steps to follow in an ideal computational social science research project.