AI Meets FAIR: Enabling Semantic Search in Trusted Research Environments
This blog explains what vector search is, details the changes we have made to integrate it with FAIR, and how hub owners can enable and optimise this service.
Collaborative Research just got a Major Upgrade: Workspaces 4.0
Workspaces 4.0 delivers major upgrades: native Office editing, embedded AI, custom app registry, easy DB creation, background tasks, tighter security and more.
Workspaces: The Latest Updates in 2025
Aridhia’s 2025 Workspace updates add network‑restricted access, schemas, flexible layouts, storage alerts, VM blob access and background R/Python task support.
Implementing Precision Medicine with the Liver Cancer Collaborative
How the Aridhia DRE powers the Liver Cancer Collaborative: Integrating clinical, genomic, and imaging data for precision medicine and federated cancer research.
The Economics of Building and Running a Trusted Research Environment
A DIY Trusted Research Environment costs $1.6M+ per year. Robert Bryce breaks down the full TCO and compares it with buying from a commercial vendor
Working with the OMOP CDM in the Aridhia DRE
OMOP CDM in the Aridhia DRE: ETL pipelines, FAIR Data Services, OHDSI Atlas, CohortMethod, and PatientLevelPrediction for secure observational health research.
Supporting OMOP in a Trusted Research Environment
Discover how the Aridhia DRE supports OMOP adoption, from data harmonisation and validation in FAIR to cohort analysis tools in secure Workspaces.
EOSC-ENTRUST: How We Assess the Aridhia DRE Against European Standards
How does the Aridhia DRE measure up against the EOSC-ENTRUST TRE survey? Ross Stiven covers all nine sections from security certifications to EHDS alignment
Applying a Maturity Model to Trusted Research Environments – Part 1
What level of TRE capability does your organisation need? Robert Bryce proposes a seven-layer capability maturity model for Trusted Research Environments.
Applying a maturity model to Trusted Research Environments - Part 2
We explore five researcher scenarios mapped to the TRE capability maturity model from controlled dataset access to strategic federated research platforms.
