In this two-part series we discuss the UK Data Service’s journey to 10,000 datasets, why it matters, and how it sets the stage for the next chapter of data innovation and impact.
Category: Data
In this two-part series we discuss the UK Data Service’s journey to 10,000 datasets, why it matters, and how it sets the stage for the next chapter of data innovation and impact.
Javiera Cartagena-Farias and Catherine Henderson, researchers at the London School of Economics, share their insights into the benefits of linking survey and administrative data.
Richard Welpton from the ESRC outlines the evolving nature of data services and the role of the ESRC’s Future Data Services initiative in meeting the growing needs of researchers.
Paul Chau, a Data Architect at the UK Data Service, explores how the Data Explorer platform enhances data interoperability through in-built transfer services and SDMX.
Sharon Bolton, Data Publishing and Curation Manager at the UK Data Service, discusses the Service’s CURATE(D) approach to managing datasets.
Alison Park discusses the importance of UK social science data infrastructures and outlines some of the opportunities and challenges they face
Jools Kasmire and Christina Magder introduce synthetic data, how it’s used, and what fidelity means, before introducing us to a project exploring the benefits of low-fidelity synthetic data.
Jim Vine from Understanding Society gives an overview of the new types of data being collected as part of the Innovation Panel, the UK Household Longitudinal Study’s test bed for survey methods.