Enhancing data quality and usability – collaboration between data owners and researchers

Main Article Content

Cecilia Macintyre
Morag Treanor
Silvia Behrens
Emma Russell
Bethany Lee-Shield
Lee Williamson
Patricio Troncoso

Abstract

Administrative Data Research (ADR) Scotland is a partnership between Scottish Government and the Scottish Centre for Administrative Research funded by Economic and Social Research Council. Together we are transforming how public sector data in Scotland is curated, accessed and analysed to unlock its full potential for policymakers and the public. This talk will illustrate the benefits of collaboration between data owners and researchers in providing advice on analysis and creating resources for the wider research community. The focus is a research project that explores context, factors and approaches to educational exclusions and absences using a large linked longitudinal administrative data set as an exemplar. The dataset spans 2008 - 2019 and combines multiple sources: Education data from the Scottish Government(school census, qualifications, absence, exclusions and school leaver destinations) Health datasets (Prescribing Information System and Scottish Morbidity Records) Census data (2001 & 2011) The project team combined both academic colleagues and a member of the Scottish Government which resulted in impact achieved by addressing data issues which arose during analysis, supplying code used in analysis of official statistics and expansion of the supporting documentation. The talk will highlight: How collaboration between government and academia enhances data quality and usability for both research and statistical use Supporting resources developed for researchers, including user guides, data dictionary and ‘Data Explained’ documents—an output that exemplifies the value of close collaboration between data owners and researchers.

Article Details

How to Cite
Macintyre, C., Treanor, M., Behrens, S., Russell, E., Lee-Shield, B., Williamson, L. and Troncoso, P. (2026) “Enhancing data quality and usability – collaboration between data owners and researchers”, International Journal of Population Data Science, 11(5). doi: 10.23889/ijpds.v11i5.3695.