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The MIREDA Partnership

MIREDA is a UK-wide research collaboration

MIREDA Partnership

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Mother and Infant Research Electronic Data Analysis (MIREDA)

The MIREDA Partnership is a UK-wide collaboration that harmonises electronic birth cohorts into a common data model to enable federated, reproducible life-course research across nations and Trusted Research Environments (TREs).

The partnership brings together major maternal and child health datasets from England, Wales, and Scotland, transforming them into the OMOP Common Data Model (CDM) to support consistent, cross-cohort analyses while data remain securely within their host environments.

Together, the harmonised cohorts represent over 18 million births, enabling research into rare exposures, policy impacts, and long-term health outcomes across the life course.

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About the Project

MIREDA is funded by the UK Medical Research Council and brings together five major electronic birth cohorts:

  • Born in Wales
  • Born in Scotland
  • Born in Bradford
  • Born in South London (eLIXIR)
  • Clinical Practice Research Datalink (CPRD) birth cohorts

Each cohort remains within its own secure TRE, but harmonisation into OMOP enables:

  • Federated analysis without sharing raw data
  • Reproducible analytical pipelines
  • Cross-nation and international comparisons
  • Large-scale studies of rare exposures and outcomes

Purpose of This GitHub Organisation

This GitHub organisation provides open technical resources developed by the MIREDA partnership, including:

1. ETL Scripts

  • Scripts used to run the tools MIREDA employed in their ETL processes.
  • Scripts which may have been needed for pre- or post-processing in order to circumvent any limitations in the methods/tools used.

2. OMOP Mappings

  • Contains a subdirectory for each birth cohort in MIREDA.
  • Each subdirectory contains JSON and CSV files which outline the mapping rules used by each cohort for their OMOP transformation.

3. Analysis Scripts

  • A place for our MIREDA analysts to share any useful or common analysis scripts that process the MIREDA OMOP CDM data.

4. Other Documents

  • Additional useful documents that outline complex or multi-faceted approaches, troubleshooting and resolutions, etc.

Projects using MIREDA

  • Other repositories within the MIREDA organisation reflect other projects we are involved with using the MIREDA data resource.
  • These are also outlined in the Projects section above.

Accessing the Data

The metadata for the harmonised MIREDA datasets are summarised the Health Data Research UK Gateway:

https://healthdatagateway.org/en/collection/119

Data are not held centrally. Each cohort:

  • Remains within its own Trusted Research Environment
  • Is governed by local data controllers
  • Requires separate access approval

Federated analysis enables the same code to run across all sites without moving sensitive data.

Work is currently underway to pilot a federated platform held within the SAIL Databank.


Getting Started

  1. Explore repositories for:

    • Mapping specifications
    • ETL pipelines
    • Analytical examples
  2. Review documentation for:

    • OMOP structure in birth cohorts
    • Mother–infant linkage methods
    • Harmonisation decisions
  3. Contact us to apply to work with our data and discuss ideas at mireda@jiscmail.ac.uk.


Citation

If you use MIREDA resources, please cite:

Seaborne et al.
UK electronic birth cohort data harmonisation using a common data model
(Final publication details to be added once available.)


Funding

Funded by the UK Medical Research Council (MRC)
Partnership Grant: MR/X02055X/1


Contact

MIREDA Partnership
Centre for Population Health
Swansea University Medical School

Project pages:
https://gtr.ukri.org/projects?ref=MR%2FX02055X%2F1
https://centreforpopulationhealth.org/projects/mireda/


Licence

Unless otherwise stated, code in this organisation is released under an open-source licence.
See individual repositories for licence details.

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