The ADRN was originally established to negotiate research access to administrative data on a bespoke basis for individual ADRN approved research projects.
To provide greater value for money and enable Government departments to provide data more effectively and efficiently for research, the ADRN started working with partner organisations across Government departments, research organisations and academia to create and curate a number of substantial, complex, persistent, and stable datasets, each of which supported the work of a theme of social and economic research. Over time, these datasets will grow to satisfy as many research and statistical inquiries as possible.
The way forward
The ADRN put together four Partnerships to deliver data that supports research in four Themes. Each Partnership was made up of the relevant government departments, What Works Centres, and research organisations. An ADRN Director led every partnership to ensure the research community is represented, and was chaired by a person with a significant public profile. The role of the Partnership is to identify the key objectives of its data Theme (i.e., important social and economic issues that can benefit from evidence based research), then agree a Data Design Proposal to commission the construction of relevant a dataset. By agreeing to the objectives and to the Design Proposal, government departments and other partners are committing to the supply, linking, documenting, and functional anonymisation of their data, to create a new research data source.
Partnership decision making and direction
The Partners work together to consider research needs (based on research interest shown to the ADRN and the ESRC priority research areas) and data availability under the data theme for which they are responsible. All Partnership group decisions are made by consensus which is vital to providing surety of data provision. It is the role of the Chair to bring the Partnership to consensus decisions.
The Partnerships are focusing on developing datasets around the following four data themes: