Authors: A1 – Owais A. Malik, B1 – Michael McCann

PEACETIME investigators: ULSTER UNIVERSITY, 1. Professor Alexander D. Miras (Principal Investigator), 2. Dr Ruth Price, 3. Dr Caomhan Logue, 4. Professor Mary Ward, 5. Professor Joan Condell, 6. Dr Siobhan Poulter, 7. Professor Vivien Coates, 8. Dr Catriona Kelly, 9. Dr Paul McClean, 10. Dr Victoria McGilligan,11. Orla Devine. NATIONAL INSTITUTE FOR PREVENTION & CARDIOVASCULAR HEALTH, 1. Dr Susan Connolly, 2. Dr Irene Gibson, 3. Professor Susan Hennessy, 4. Dr Sandra Ganly. DERRY GP FEDERATION, 1. Dr Liam Foy, 2. Dr Lisa Thorpe. ATLANTIC TECHNOLOGICAL UNIVERSITY, 1. Dr Michael McCann, 2. Dr Richeal Burns, 3. Dr Helen McGloin, 4. Dr Andrew McCloskey, 5. Dr Laura Keaver. IRISH COALITION FOR PEOPLE LIVING WITH OBESITY, 1.Susie BirneyM, 2.Dr Fiona Quigley. GENERAL PRACTITIONER (Donegal), 1. Dr Katherine Murray

Affiliations: 1 – School of Computing, Faculty of Engineering and Computing, Atlantic Technological University, Letterkenny, Co. Donegal, F92 FC93, Ireland

Background/ Introduction: Digital health research programmes increasingly collect data from diverse sources, including clinical assessments, laboratory investigations, wearable devices, patient-reported outcomes, and behavioural interventions (Ambalavanan et al., 2025). However, integrating and harmonising data across multiple research workstreams, partner organisations, and diverse participant pathways remains a major challenge for cross-border digital health research (Gyrard et al., 2025; Hussein et al., 2025). The PEACETIME project is developing an integrated data harmonisation framework for a cross-border community-based obesity and type 2 diabetes intervention programme. The framework aims to integrate multi-source health data and establish a research-ready environment for intervention evaluation, longitudinal outcome monitoring, and future data-driven analytics.

Material & Methods: The framework is being developed by a dedicated data management team working with project partners across both jurisdictions. Data requirements from multiple workstreams were reviewed through an iterative harmonisation process. Data sources spanning clinical, behavioural, laboratory, wearable, patient-reported, digital engagement, and health economics domains were mapped. Common data elements were identified, and assessment schedules were aligned across baseline, 3-, 6-, and 12-month follow-ups. This led to the development of a core dataset structure, project-specific datasets, an initial data dictionary, and a proposed data flow architecture.

Results: The proposed framework provides a common structure for linking data across workstreams and partner organisations. It includes a harmonised dataset specification, aligned assessment schedules, an initial data dictionary, and a proposed integrated architecture. The architecture supports participants following both digital and non-digital intervention pathways. The Digital Health Platform serves as a data collection environment for digital interventions, wearable data, patient-reported outcomes, and engagement measures. These data are linked with clinical, laboratory, health economics, and other project data within a proposed research data environment. This approach facilitates the creation of research-specific datasets while maintaining a harmonised structure for data integration and analysis.

Conclusion: Early experience from PEACETIME highlights the importance of data harmonisation and architecture design in cross-border digital health programmes. The proposed framework provides a foundation for evaluating community-based obesity and type 2 diabetes interventions, enabling longitudinal outcome monitoring, secondary analyses, predictive analytics, and AI-driven digital health research.