Completed Economics & Business Public Health & Healthcare

Extension for the Longitudinal Studies Centre Scotland (LSCS) from 2020 to 2025, part of UKCenLS-RSU call

In plain English

AI plain-English summary

The Scottish Longitudinal Study (SLS) links census, health, education, and justice records for hundreds of thousands of people across Scotland, creating a detailed picture of how life events unfold over decades. This matters because most research data captures only a single moment in time. Without linked longitudinal data, it is nearly impossible to track how childhood poverty, a job loss, or a new health policy actually changes people’s lives years later. The SLS fills that gap by letting researchers follow the same individuals through time, connecting causes to long-term outcomes. If this work succeeds, the SLS will become easier for researchers to use—through synthetic data extracts, access via national safe havens, and new linkages to historical birth cohorts. That means faster, more reliable answers to policy questions about health inequalities, education, crime, and ageing. The impact is on the infrastructure that quietly underpins evidence-based decisions in government and public services. This is not a single experiment but the maintenance and expansion of a research platform that makes many future studies possible.

View original technical description
The LSCS data infrastructure centre the SLS-DSU is responsible for the development of one of the most exciting LS in the UK and our goal is to maintain and enhance this position as an internationally renowned centre for longitudinal data analysis. We will continue to develop the SLS, extending its potential through the addition of new datasets, promoting to expand its research user base by making the data more accessible. We will achieve this through 5 core functions: 1. Creating data for research - enhancing the SLS through linkages to new datasets We will continue developing new admin data linkages not just the 2021 Census, with Justice Data and to extend the education data holdings in different ways. 2. Providing the SLS-DSU User Support service - maintaining the SLS & SLS Safe Setting i) Support access & use of the SLS We will continue our high quality support of users - from PhDs through to Profs - for the whole life-cycle of projects from application, creation of SLS extracts to clearance of outputs. We will focus on widening access to make the use of the SLS easier, build on the success of synthetic bespoke extracts created using the SYNTHPOP R prog. we plan to roll this option out to all new users. Further, we will extend research access to project extracts to the other National Safe Havens. ii) Maintain the SLS & SLS Safe Setting We will continue with the core maintenance tasks of the study, updating databases, software, and hardware, and improve the research environment for researchers. We expect to undertake a large number of linkages to NHS data and will explore the possibility of limited health variables within the SLS. 3. Capacity building - promote the research potential of the SLS We will continue to provide training events per year, including an introductory and survival analysis - and running them at BSPS/UCL. We will host the annual UKcenLS conferences in 2021 and 2024. As SLS extracts will be accessible via to be held in the National Safe Havens, we plan to run roadshows these universities. We publish web-based resources - we will extend these in the next period including webinars and code sharing. 4. Communications, knowledge mobilisation & impact - promote the impact of the SLS At the SLS we have a track record of directly promoting the impact of its research. During the next phase in conjunction with the other 2 RSUs we will develop more fully formed communications and impact strategies with more efficient way to measure activity. Our main method is the shared CALLS outputs database. We further plan to promote the impact in several ways: continue production of SLS impact case studies on a subset projects and the creation of an umbrella project to enable fast response tables to policy questions. And we plan to increase public engagement work and our social media profile. We will continue working with other 2 RSUs, maintain links other ERSC investments on joint events (to showcase both value and potential of datasets) and more technical topics. 5. Conducting limited methodological development work We will undertake appropriate substantive research to promote the potential of the SLS and wider LSCS datasets. We will continue to offer an innovative method (eDataSHIELD) which facilitates joint up analysis of more than 1 LS. Additionally, more technical data linkage and development work is planned to improve efficiency (with NRS). We will increase our holding of other historical LS: expanding the SLS Birth Cohort of 1936 (SLS1936BC), creating the SMS47 Cohort Enhancement (100% data) and Digitising Scotland (DS) data. These datasets provide a unique opportunity for the LSCS, and staff will undertake research on these to produce working papers to help potential users and to promote the potential of the new data. In conclusion, we look to maintain and significantly extend our LS 'offer'. Continuing to do what we do well -the curation and development of the SLS and high quality support

View the original record at the funder ↗

Researchers

Christopher Dibben (Principal Investigator)Lee Williamson (Co-Investigator)Tom Clemens (Co-Investigator)Zhiqiang Feng (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Extension for the Longitudinal Studies Centre - Scotland (LSCS) from 2018 to 2020
Extension for the Longitudinal Studies Centre - Scotland from 2012 to 2017
Extension for the Longitudinal Studies Centre Scotland (LSCS) from 2025 to 2030, part of UKCenLS call
CeLSIUS: Research Support Unit for the ONS Longitudinal Study for England & Wales 2025-2030
NILS-RSU: Continuation 2012-2017

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.