Flagship Datasets
Covering ADR UK’s eight core strategic research themes – from environment and health to growing old – our flagship datasets have the potential to unlock considerable public good by helping to fill evidence gaps and address pressing policy needs.
ADR UK flagship datasets are of significant research value and we anticipate will have wide appeal to researchers. This is integral to our mission to enable research that has the potential to lead to better informed policy decisions and more effective public services.
The flagship datasets are findable in the ADR UK Data Catalogue and available for all accredited researchers to apply to access via one of ADR UK’s trusted research environments. They have approved legal gateways for research and are publicly documented.
Datasets
Annual Survey of Hours and Earnings linked to 2011 Census - England and Wales
The Wage and Employment Dynamics (WED) data linkage project is a collaboration led by researchers from the University of the West of England, aiming to better understand wage inequalities in Britain. Phase one of the project was made up of two parts: 1) Linkage of the Annual Survey of Hours and Earnings (ASHE) data to 2011 Census; and 2) the development of Stata code to enrich the ASHE data. This dataset allows for insight into the dynamics of wage and employment issues, and how characteristics such as gender, disability, and ethnicity influence these.
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Data First: Cross-Justice System - England and Wales
This dataset connects Ministry of Justice data from the civil and family courts with different areas of the criminal justice system. This presents an unprecedented opportunity to understand cross-cutting questions about the overlaps and intersections between users of services in different justice jurisdictions.
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Data First: Family Court linked to Cafcass and Census 2021 - England and Wales
The Ministry of Justice Data First family court - Cafcass linked dataset came about from a data sharing agreement between the Secure Anonymised Information Linkage (SAIL) Databank, Ministry of Justice and Cafcass (Children and Family Court Advisory and Support Service). The de-identified dataset contains information on adoption, divorce, family law act, public law and private law cases, and their legal outcomes, in England and Wales.
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Education and Child Health Insights from Linked Data - England
The Education and Child Health Insights from Linked Data (ECHILD) database includes linked records for around 20 million children and young people, which will be used to better understand how education affects children’s health and how health affects children’s education.
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Grading and Admissions Data for England
Grading and Admissions Data for England (GRADE) is a joint open data initiative by Ofqual, Ofsted, the Department for Education (DfE), and UCAS. Its main objective is to provide accredited researchers with access to data to conduct independent research on the educational, assessment, and admission systems in England, and to facilitate internal analysis.
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Growing Up in England
ADR UK, the Office for National Statistics (ONS) and the Department for Education (DfE) are working together to make better use of existing data about children and young people in England. The Growing Up in England (GUIE) dataset will enable a more comprehensive understanding of how factors such as household composition and geography shape outcomes.
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Longitudinal Education Outcomes - England
The Longitudinal Education Outcomes (LEO) dataset is a world-leading data product created by the Department for Education (DfE). It contains de-identified information on the characteristics, education, employment, benefits, and earnings of members of the British public.
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Ministry of Justice & Department for Education linked dataset - England
The MoJ-DfE linked dataset allows analysis to understand links between childhood characteristics, educational outcomes and (re)offending. The dataset includes data from Prison, Courts, Police National Computer, National Pupil Database, Looked-After-Children and Children in Need and covers variables such as demographics, offending data, school exclusions, and children in care.
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