The Wrightington, Wigan and Leigh NHS Foundation Trust (WWL) OMOP database is a longitudinal secondary care dataset derived from routinely collected electronic health record (EHR) data for patients treated at WWL. The dataset has been mapped to the OMOP Common Data Model (CDM), enabling interoperability with other OMOP aligned data assets and supporting privacy preserving, multi centre observational research. The database captures a broad range of clinical information spanning key secondary care activity, including patient demographics, diagnoses, procedures, medications, laboratory measurements, and outcomes. This provides a rich foundation for research across multiple clinical domains, including diagnostics, elective and emergency care pathways, long term conditions, and service evaluation within a district general hospital setting. With internationally recognised orthopaedic services, largescale realworld dermatology pathways, and data structured in the OMOP Common Data Model, WWL is positioned as a trusted partner for academic, industry, and health system research. This makes it an invaluable resource for researchers focusing on these clinical areas, as well as those interested in broader secondary care settings.

By conforming to the OMOP CDM, the WWL OMOP database supports the use of standardised OHDSI analytical tools and federated analytics approaches. This allows researchers to conduct reproducible analyses and participate in collaborative studies across institutions. The WWL OMOP database is intended to support a wide range of use cases, including:

• Secondary care outcomes research
• Pathway and waiting list analyses
• Population health and health inequalities research
• Service evaluation and quality improvement
• Participation in regional, national, and international federated studies

Overall, the WWL OMOP database represents a growing and strategically important research asset. Its alignment to international data standards, combined with high quality routinely collected clinical data, positions WWL to contribute meaningfully to collaborative research initiatives and to generate insights that can directly inform improving patient outcomes.