Displaying results 1 to 10 out of 48
Join the ADR England Community Catalyst: Children at Risk of Poor Outcomes group for their next webinar, focusing on evaluation using administrative data.
View event
Join an upcoming knowledge-sharing session on facilitating data access with the Project Accreditation Service for the Secure Research Service (PASS).
This short course (delivered on two mornings over two days) will cover the basics of open science principles and data management. It is delivered by the Education and Child Health Insights (ECHILD) team at UCL Great Ormond Street Institute of Child Health.
Join the Education and Child Health Insights from Linked Data (ECHILD) team for a free, in person event at Friends House, London, for an engaging and collaborative day with other ECHILD users. This event provides a unique opportunity to connect with researchers, share experiences, and explore ways to maximise the impact of ECHILD data.
Join the ADR England Community Catalyst: Children at Risk of Poor Outcomes group for two presentations highlighting how connected data can be used to explore and answer current questions in children’s health, social care, and education.
As part of the ADR England Research Community Catalyst: Youth Transitions project, the University of Westminster is running a face-to-face clinic to support researchers in their evaluation challenges using ADR administrative datasets, such as Longitudinal Education Outcomes (LEO) and Grading and Admissions Data for England (GRADE).
Join the HM Prison & Probations Service (HMPPS) Evidence and Insights team and colleagues to hear about the inaugural and recently launched HMPPS Statement of Operational Evidence Needs (SOEN).
Register now for Research Capability 2025, organised by the Office for National Statistics. This free event will bring together researchers, data owners and policy professionals to explore how research can serve the public good.
The Data Resources Training Network welcomes you to the final webinar in their 2025 series, Exploring digital life, technology change and attitudes to AI through national datasets.
