Enabling Federated Access to Administrative Data and Beyond

ObjectivesEnable federated access to datasets across multiple Trusted Research Environments (TREs) while adhering to the Five Safes framework and international standards. This approach enhances global interoperability, prioritizing flexibility, accessibility, and transparency to advance secure, collaborative research. MethodThrough DARE UK funding, we developed TRE-FX, a rapid prototype leveraging GA4GH Task Execution Service (TES) for federated analysis. Originally designed for genomics, we extended TES to diverse data types and environments. TRE-FX supports complex workflows while integrating SQL and GraphQL to simplify adoption. Wizard-driven interfaces and API access further enhance usability, enabling seamless execution of federated queries across secure environments. ResultsTRE-FX establishes a hub-and-spoke configuration for secure data access. Safe Settings, Projects, and People ensure controlled access to Safe Data, with results passing through an airlock for authorized release. Open-sourced and backed by further investment, TRE-FX will evolve into a national, cross-domain solution. Transparency is a core principle, with public visibility of projects, participants, and queries fostering trust. This commitment will expand in the next development phase. ConclusionTRE-FX delivers an end-to-end federated analysis solution within nine months, spanning three institutions. By integrating accessible tools like SQL, we support diverse research needs. Future phases will enhance reproducibility with RO-Crates and explore FAIR federated analytics. This initiative drives national dialogue, shaping the future of federated research in the UK.

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Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i4.3197
Citations
1
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
2.48
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article

Enabling Federated Access to Administrative Data and Beyond

Justin B. Biddle, Simon Thompson, Hazel Lockhart-Jones, Alexandra Lee et al.
1 citations
International Journal for Population Data Science
Privacy-Preserving Technologies in Data
2.48
article

Enabling Federated Access to Administrative Data and Beyond

Justin B. Biddle, Simon Thompson, Hazel Lockhart-Jones, Alexandra Lee, Michael Bale, John Vau
article en
1 citations

Abstract

ObjectivesEnable federated access to datasets across multiple Trusted Research Environments (TREs) while adhering to the Five Safes framework and international standards. This approach enhances global interoperability, prioritizing flexibility, accessibility, and transparency to advance secure, collaborative research. MethodThrough DARE UK funding, we developed TRE-FX, a rapid prototype leveraging GA4GH Task Execution Service (TES) for federated analysis. Originally designed for genomics, we extended TES to diverse data types and environments. TRE-FX supports complex workflows while integrating SQL and GraphQL to simplify adoption. Wizard-driven interfaces and API access further enhance usability, enabling seamless execution of federated queries across secure environments. ResultsTRE-FX establishes a hub-and-spoke configuration for secure data access. Safe Settings, Projects, and People ensure controlled access to Safe Data, with results passing through an airlock for authorized release. Open-sourced and backed by further investment, TRE-FX will evolve into a national, cross-domain solution. Transparency is a core principle, with public visibility of projects, participants, and queries fostering trust. This commitment will expand in the next development phase. ConclusionTRE-FX delivers an end-to-end federated analysis solution within nine months, spanning three institutions. By integrating accessible tools like SQL, we support diverse research needs. Future phases will enhance reproducibility with RO-Crates and explore FAIR federated analytics. This initiative drives national dialogue, shaping the future of federated research in the UK.

International Journal for Population Data ScienceVol. 10(4)
Swansea University (GB)
Openalex Percentile: Top 9%
Privacy-Preserving Technologies in Data
2.48
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Enabling Federated Access to Administrative Data and Beyond — Justin B. Biddle, Simon Thompson, et al. · International Journal for Population Data Science (2025) | TGRS Research Map | TGRS