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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.

Our preprint Data Descriptor is here: https://doi.org/10.64898/2026.03.23.26349078 .


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. OMOP Mapping Resources

  • Standardised mapping specifications
  • Carrot Mapper csv files
  • Metadata and vocabulary mapping examples
  • Cohort-specific and harmonised mappings

2. Transformation Post-Processing

While transformation to OMOP CDM was processed using the carrot-transform tool, where additional code has been required to create unsupported domain tables or amend mapped data, theseScripts will be found here as:

  • Post-processing and quality-assurance scripts
  • Helper tools for handling OMOP limitations

3. Analytical Methods

  • Reproducible study pipelines
  • Example federated analyses
  • Cohort-comparable study definitions

4. Documentation and Methods

  • Technical documentation
  • Harmonisation decisions

5. Troubleshooting and Common Issues

  • OMOP pregnancy modelling approaches
  • Mother–infant linkage solutions
  • Vocabulary mapping challenges
  • Practical solutions from real-world cohort harmonisation

Accessing the Data

The harmonised MIREDA datasets are accessed through 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. Apply for data access through the HDR UK Gateway if you wish to run analyses.


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

Additional support from:

  • Health Data Research UK
  • NIHR Birmingham Biomedical Research Centre

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.

Popular repositories Loading

  1. omop-mappings omop-mappings Public

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  2. .github .github Public

  3. transformation transformation Public

    Post-processing, quality-assurance and helperscripts/tools for handling carrot-transform limitations.

  4. analysis-scripts analysis-scripts Public

    Scripts that can successfully be implemented on data from each MIREDA cohort to affect specific analyses and data summaries.

  5. documentation documentation Public

    Technical documentation, including harmonisation decisions, protocols and processes.

Repositories

Showing 5 of 5 repositories

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