Tag: European Open Science Cloud (EOSC)
EOSC-SIESTA at the 2026 EOSC Coordination Meeting in Brussels
The EOSC-SIESTA project took part in the fifth annual EOSC Coordination Meeting, held in Brussels on 8–9 July and hosted by the European Commission, alongside 33 other Horizon Europe-funded projects. During the meeting, Álvaro López García and Judith Sáinz-Pardo Díaz presented, on behalf of SIESTA, a success story on scaling cross-project collaboration between AI4EOSC, SIESTA…
SIESTA Concepts #5: Named Entity Recognition
Sharing cyber incident reports is vital for threat detection, but they’re full of personal data. Anonymisation pipelines rely on Named Entity Recognition models to catch sensitive mentions first — and these are usually trained in English. Researchers within EOSC SIESTA tested whether that holds up in Spanish, and found that multilingual models outperform English cybersecurity…
SIESTA tool: DatLeak
EOSC-SIESTA (Secure Interactive Environments for SensiTive data Analytics) is a European project, funded under the Horizon Europe programme, that strengthens the European Open Science Cloud (EOSC) with trusted, cloud-based environments for managing and analysing sensitive data. Its goal is to give researchers practical, reproducible ways of working with confidential datasets while still respecting FAIR principles,…
SIESTA Synergies: EOSC-SIESTA at the TESSERA Final Event
On June 26th, 2026, EOSC-SIESTA will participate in the final event of the TESSERA project, joining the session dedicated to sibling projects and related initiatives to present a comprehensive overview of the project goals, tools, and capabilities.
SIESTA Tool: Dashboard
The EOSC-SIESTA Dashboard is the main interface connecting the project’s technical infrastructure with its practical research use cases. Based on Onyxia, this unified platform features a modular service catalog, MinIO S3-compatible storage, and a secure secret-management system, allowing researchers to safely access and analyze sensitive datasets.
SIESTA Concepts #4 | FAIR Data
EOSC-SIESTA bridges the gap between open science and data protection by applying FAIR principles to sensitive data. Through trusted cloud environments, the project demonstrates that data can be secure, confidential, and controlled while remaining findable, accessible, interoperable, and reusable for scientific research.
Science Europe’s 40 members rally behind EOSC Partnership in FP10
Science Europe, representing 40 major research organizations, has issued a position statement urging a robust framework under the EU’s next FP10 programme to secure the future of EOSC.
SIESTA CONCEPTS#1: Federated Learning
Federated Learning (FL) allows multiple participants to collaboratively train AI models by keeping data local and sharing only encrypted model updates. Through the SIESTA dashboard, users can easily deploy secure FL clients, which connect to a central coordinating server hosted on AI4EOSC via the Flower framework and secure gRPC protocols, enabling privacy-preserving collaboration.
SIESTA Video Series: Text Anonymization on Sensitive Data
The SIESTA Video Series brings together a set of short videos in which several of the project’s use cases present their work and main objectives. In particular, the use cases on Medical Imaging, Energy Domain, Text Anonymization on sensitive data, and Demography have contributed to this series, each explaining their respective activities within the project.…