The Health Informatics Centre: a Regional Safe Haven and Trusted Research Environment Enabling World-Leading Research

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Authors: Laura McKernan Ward, Jenny Johnstone, Keith Milburn, Christopher Hall, Claire Jones, Magalie Guignard‐Duff, Susan Krueger, Gordon Milligan, Jill Hampton, Richard Walls, Christian Cole
Cited by: 0
References: 33

Abstract

Introduction: The Health Informatics Centre (HIC) is a regional Scottish Safe Haven dedicated to secure data management, ensuring its integrity, confidentiality, and availability through a robust information governance framework. Methods: As a data processor, HIC is responsible for the secure curation, storage, and provision of research data extracts. Research-ready data are made available to approved researchers via our customisable cloud Trusted Research Environment (TRE). Results: The available granular data spans over 20 years, includes 2.1 million of the Scottish population, and HIC offers more than 170 datasets, with the most commonly used published with a digital object identifier. Data sources include clinical, hospital, laboratory, imaging, and research datasets which can be linked to new, and existing datasets. The data is quality-assured and released as project-specific extracts, ensuring robust privacy protection and research readiness. HIC's infrastructure is secure-by-design and supports high-performance computing, advanced data analytics, and is customisable to researcher's needs. Conclusion: HIC has a long history of supporting a wide range of data-led research projects as a trusted and capable partner. At the time of publication 175 projects across academia, the NHS, and public sector organisations are active within HIC. Through adaptability, innovation and investment in people and infrastructure we have established a sustainable model which will continue to meet future needs and demands from world-leading research with sensitive data.

Fields of Study & Subjects

Research Data Management Practices Electronic Health Records Systems Privacy-Preserving Technologies in Data

Publication details

Journal / source
International Journal for Population Data Science
Volume
8
Issue
6
Pages
3320–3320
Publication date
16 March 2026
Language
EN