Evidence map›Paper›PMID 42221161›Full record

ArticleFrontiers in digital health2026

A maturity model framework for federated networks of trusted research environments.

Jasper H C Luong, Jillian Beggs, Jason Ferris, Koh Furuta, Alain-Dominique Gorse, Emily Jefferson, Khin Mi Mi Aung, Clair Sullivan, Xing Yi Woo, HEALTHWISE Consortium and 4 more

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jasper H C LuongDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada.
Jillian BeggsUniversity of Dundee, Dundee, United Kingdom.
Jason FerrisQueensland Digital Health Centre, The University of Queensland, QLD, Brisbane, Australia.
Koh FurutaChiba Medical Center, Clinical Laboratory, Chiba, Japan.
Alain-Dominique GorseData Science Collaborative Research Platform, The University of Queensland, QLD, Brisbane, Australia.
Emily JeffersonUniversity of Dundee, Dundee, United Kingdom.
Khin Mi Mi AungInstitute for Infocomm Research (I²R), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Clair SullivanQueensland Digital Health Centre, The University of Queensland, QLD, Brisbane, Australia.
Xing Yi WooInstitute for Infocomm Research (I²R), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
HEALTHWISE Consortium
Io Hong CheongDigital Intelligence Medical Research Institute, Hainan International Medical Center, Shanghai Jiao Tong University School of Medicine, Qionghai City, Lecheng Medical Tourism Pilot Zone, Hainan Province, China.
Zisis KozlakidisInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
Philip R QuinlanCentre for Health Informatics, NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom.
Tim BeckCentre for Health Informatics, NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A Trusted Research Environment (TRE) is a highly secure computer system where sensitive data is stored that researchers can access remotely and make use of in a safe setting. TREs can form federated networks when they have overlapping objectives, such as providing data access to the same researchers for the same project. However, there is variation in the design and implementation of TREs. This makes it difficult for these systems to interoperate without guidance on the technical pathway that should be followed to achieve federation maturity, and resources to assess the current state of maturity. Methods: We evaluated international maturity models for measuring the capabilities of life sciences and healthcare federated digital infrastructures to identify essential components for federation. Merging synonymous and related components resulted in a maturity model framework consisting of six discreet domains that are required for optimal TRE federation. Results: The framework comprises of one governance structure domain (governance and policies), one service delivery domain (operations and performance), three technical domains (data management and security, operational infrastructure, clinical/research infrastructure) and one engagement strategy domain (outreach and communication). The TRE community in the UK, convened by DARE UK, have developed a technical blueprint for deploying standalone TREs (called SATRE) and a technical Federated Architecture Blueprint (FAB) for enabling federation between TREs. These blueprints align with many of the maturity model framework's domains. Discussion: We suggest criteria for implementing the maturity model framework domains and for assessing their relative levels of maturity, and where appropriate reference the recommendations from SATRE and FAB. The maturity model framework can be used as a foundation for assessing the governance, operational and technical readiness of TREs when joining federated networks.

Indexed as

electronic health recordsfederated networkshealth datamaturity modeltrusted research environments

Identifiers

PMID42221161
PMCPMC13219306

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.