Applying a Maturity Model to Trusted Research Environments – Part 2
In the first part of this series we considered the organisational goals of a TRE and how those goals might map to different levels of capability. However, researchers, data stewards, institution PIs...
View ArticleApplying a Maturity Model to Trusted Research Environments – Part 1
Trusted Research Environments (TREs) have been in existence for well over 10 years now and during that time have developed in a variety of different ways depending on the requirements and the approach...
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FAIR Data Services and EHDS
This is the first blog a series detailing how the Aridhia DRE can be used to ensure Health Data Holders are ready to comply with the secondary use requirements of the European Health Data Space (EHDS)...
View ArticleEOSC-ENTRUST: How We Assess the Aridhia DRE Against European Standards
What is EOSC-ENTRUST? EOSC-ENTRUST is an EU funded project which: …aims to create a European network of Trusted Research Environments (TREs) for sensitive data and drive European interoperability by...
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Output review at egress: how AIRAlock combines rules and AI advisory
When a researcher in a Trusted Research Environment is ready to take results out of the workspace, they identify the files they want to take and submit an airlock request. At that point someone,...
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Supporting OMOP in a Trusted Research Environment
What is the OMOP CDM? The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) is an open source standard for harmonising health care data. Common data models are not a recent...
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Running AI Agents on Sensitive Research Data: What Is Possible Today
What research teams can do inside a TRE Most Trusted Research Environments have no AI capability. Researchers who want to use AI tools to work with sensitive data face a straightforward choice: go...
View ArticleThe Aridhia DRE: A Federated Trusted Research Environment
Our Q1 blogs have detailed two important projects. Our work with the DARE UK TREvolution project enabling federated analytics in Trusted Research Environments, and our collaboration with Flower,...
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DRE Feature Review – Q1 2026
As we close out the first quarter of 2026, it’s good to consolidate all the great features that have been released across the DRE over the last few months. We release every two weeks, with a...
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Orrum and Aridhia Announce Partnership
Orrum Clinical Analytics today announced a strategic partnership with Aridhia to enhance the analytics and benchmarking capabilities of Orrum’s CŌRE Insights™ platform with the power of full data...
View ArticleSATRE 2026: Supporting Services
Standardised Architecture for Trusted Research Environments (SATRE) is a DARE UK driver project to support the development of a secure reference architecture for Trusted Research Environments (TRE),...
View ArticleSATRE 2026: Data Management
Standardised Architecture for Trusted Research Environments (SATRE) is a DARE UK driver project to support the development of a secure reference architecture for Trusted Research Environments (TRE),...
View ArticleSATRE 2026: Computing Technology and Information Security
Standardised Architecture for Trusted Research Environments (SATRE) is a DARE UK driver project to support the development of a secure reference architecture for Trusted Research Environments (TRE),...
View ArticleSATRE 2026: Information Governance
Standardised Architecture for Trusted Research Environments (SATRE) is a DARE UK driver project to support the development of a secure reference architecture for Trusted Research Environments (TRE),...
View ArticleUKRI AI Strategy
Last month, UKRI announced a major program for AI development and adoption (UKRI’s AI Strategy announcement, a £1.6Bn funding package for the next four years). I wanted to highlight a few things...
View ArticleTREvolution Project Update: Building User-Friendly Tools for Federated Research
Ross blogged about our involvement in the DARE UK TREvolution project in late 2025, and you can read the interim report that we submitted to DARE here. This blog provides an update on our work under...
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Accelerating Secure Federated Learning with Aridhia DRE and Flower
Deploying production-ready federated networks in days, not months The promise of federated learning (training machine learning models across distributed datasets without centralising sensitive data) is...
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PHEMS Project Update 2026 – What We’ve Done So Far
We last provided an update on the PHEMS project in mid-2025, after the annual meeting. Work has continued since then, and this post provides an update on Aridhia’s work developing the Federated Node...
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Introducing Project Workspace: SATRE Compliant Trusted Research Environment...
What Project Workspace Solves Researchers working with sensitive data such as patient records, genomic datasets and clinical information need secure infrastructure with proper certifications and audit...
View ArticleReviewing 2025: AI, federation and common data standards
At the start of 2025 the product team put out a joint blog looking at the year ahead, and itemising what they saw as the likely strategic trends for 2025, these were: Securely integrating AI...
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