SciTransfer
EOSC-ENTRUST · Project

Secure European Network for Sharing and Analyzing Sensitive Research Data

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Imagine if every hospital or nature reserve had its own locked vault for data, but no way to talk to other vaults. This project builds a universal set of keys and a shared rulebook so researchers can analyze data across different vaults without ever moving the sensitive files. It's like a secure bridge connecting separate digital islands.

By the numbers
34
partners
17
countries involved
15
TRE providers from European countries
The business problem

What needed solving

Sensitive data is trapped in fragmented, incompatible secure silos across Europe. This makes it nearly impossible for researchers to perform large-scale analysis without compromising security or spending years on administrative access requests.

The solution

What was built

A common reference architecture (blueprint) for federated data access and a demonstrator for Trusted Research Environments based on ELIXIR.UK work.

Audience

Who needs this

Pharmaceutical R&D firmsGenomics research centersPublic health agenciesEnvironmental protection NGOsAI companies specializing in medical data
Business applications

Who can put this to work

Healthcare
enterprise
Target: Clinical Research Organization

If you are a Clinical Research Organization dealing with fragmented patient data across borders — this project developed a common blueprint that allows secure transnational access and analysis. This means you can run studies on sensitive health data without the risk of moving it out of secure environments.

Environmental Conservation
any
Target: Ecological Monitoring Agency

If you are an Ecological Monitoring Agency dealing with the risk of exposing locations of vulnerable species — this project developed a network of trusted research environments. This allows you to collaborate on geospatial data while keeping the exact coordinates protected within secure sites.

Artificial Intelligence
mid-size
Target: AI Model Developer

If you are an AI Model Developer dealing with the need for massive computing power on restricted datasets — this project integrated exa-scale computers like LUMI and Mare-Nostrum. This provides the processing power needed to build advanced AI models while maintaining strict data security.

Frequently asked

Quick answers

What is the cost or pricing for using this network?

Based on available project data, no pricing or cost structure is mentioned as this is a Horizon-RIA research project.

Can this be scaled to an industrial level?

The project aims to foster an ecosystem of public, private, and joint-venture providers, suggesting a design intended for wide-scale adoption across 17 countries.

Who owns the IP or licensing for the blueprint?

Based on available project data, specific licensing terms are not provided, but the project focuses on creating common standards and shared legal language for interoperability.

How does this handle data regulations?

It uses a blueprint anchored in the EOSC Interoperability Framework, covering legal, organizational, technical, and semantic dimensions to ensure sensitive data is handled correctly.

How is this integrated with existing systems?

It is designed to be embedded in the European Open Science Cloud and European Data Spaces, allowing existing TRE providers to implement shared standards.

Consortium

Who built it

The consortium is heavily weighted toward research and academia, with 15 universities and 11 research organizations. However, it includes 2 industrial partners and 6 other entities across 17 countries, indicating a broad geographic reach but a low industry ratio of 6%. This suggests the project is currently driven by scientific standards rather than immediate commercial productization.

How to reach the team

Contact the European Molecular Biology Laboratory (EMBL) in Germany.

Next steps

Talk to the team behind this work.

Contact us to find a TRE provider partner in the EOSC-ENTRUST network.