| アブストラクト | INTRODUCTION: Birth cohorts are valuable resources for studying early life, the determinants of health, disease, and development. They are essential for studying life course. Dynamic longitudinal electronic cohorts use routinely collected data, are live, and can reduce selection bias specifically associated with direct recruitment in traditional birth cohorts. However, they are limited to health and administrative data and may lack contextual information.The MIREDA (Mother and Infant Research Electronic Data Analysis) partnership creates a UK-wide birth cohort by aligning existing electronic birth cohorts to have the same structure, content, and vocabularies, enabling UK-wide federated analyses. OBJECTIVES: Create a core dynamic, live UK-wide electronic birth cohort with approximately 500,000 new births per year using a common data model (CDM).Provide data linkage and automation for long-term follow up of births from the Clinical Practice Research Datalink (CPRD), MuM-PreDiCT and the 'Born in' initiatives of Bradford, Wales, Scotland, and South London for comparable analyses. METHODS: We will establish core data content and collate linkable data. A suite of extraction, transformation, and load (ETL) tools will be used to transform data for each birth cohort into the CDM. Transformed datasets will remain within each cohort's trusted research environment (TRE). Metadata will be uploaded for the public to the Health Data Research (HDRUK) Innovation Gateway. We will develop a single online data access request for researchers. A cohort profile will be developed for researchers to reference the resource. ETHICS: Each cohort has approval from their TRE through compliance with their project application processes and information governance. DISSEMINATION: We will engage with researchers in the field to promote our resource through partnership networking, publication, research collaborations, conferences, social media, and marketing communications strategies. |
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| 投稿者 | Seaborne, Mike; Jones, Hope; Cockburn, Neil; Durbaba, Stevo; Gonzalez-Izquierdo, Arturo; Hough, Amy; Mason, Dan; Sanchez-Soriano, Carlos; Orton, Chris; Mendez-Villalon, Armando; Giles, Tom; Ford, David; Quinlan, Phillip; Nirantharakumar, Krish; Poston, Lucilla; Reynolds, Rebecca; Santorelli, Gillian; Brophy, Sinead |
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| 組織名 | National Centre for Population Health and Wellbeing Research, Swansea University;Medical School, Swansea, UK.;Data Lab, National Centre for Population Health and Wellbeing Research, Swansea;University Medical School, Swansea, UK.;Born in Wales, National Centre for Population Health and Wellbeing Research,;Swansea University Medical School, Swansea, UK.;Institute of Applied Health Research, University of Birmingham, Birmingham, UK.;eLIXIR, Born in South London, King's College London, Strand, London, UK.;King's College London, School of Life Course and Population Sciences, London, UK.;Born in Bradford, Bradford Institute for Health Research, Bradford Royal;Infirmary, Bradford, UK.;Born in Scotland, Centre for Cardiovascular Science, University of Edinburgh,;Queen's Medical Research Institute, Edinburgh, UK.;Health Data Science, Swansea University, Swansea, UK.;Digital Research Service, University of Nottingham, Nottingham, UK.;School of Medicine, University of Nottingham, Nottingham, UK.;Mum-PreDiCT, University of Birmingham, Birmingham, UK.;Department of Women and Children's Health, School of Life Course and Population;Sciences, King's College London, London, UK.;Health Data Research UK, London, UK.;Administrative Data Research Wales, Swansea University Medical School, Swansea,;UK.;Health and Care Research Wales, Cardiff, UK. |
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