Tag: EOSC-SIESTA
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 aids threat detection, but they contain personal data that must be anonymised. Since the Named Entity Recognition models behind anonymisation are usually trained in English, EOSC SIESTA researchers tested them on Spanish and found that multilingual models trained on target-language reports work best.
SIESTA tool: DatLeak
DatLeak is a tool developed by the Neurobiology Research Unit (NRU) at Copenhagen University Hospital and available through the SIESTA Dashboard. It detects data leakage in anonymized datasets: when a dataset is randomized or scrambled, the resulting variables can still carry traces of the original values that could link a record back to a real…
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: BIDScramble
BIDScramble is an open-source tool developed by Radboud University within the EOSC-SIESTA project to facilitate the secure reuse of sensitive neuroimaging data. It transforms BIDS-formatted datasets into anonymous scrambled versions that maintain original structural and statistical properties.
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.
3rd EOSC-SIESTA webinar: A journey through the SIESTA computing infrastructure
Discover the EOSC-SIESTA computing infrastructure on June 3, 2026. This third webinar offers a technical overview from the perspectives of providers, users, and developers, focusing on secure cloud environments, confidential computing, and sensitive data analytics.
EOSC-SIESTA Participates in the FIDELIS Support Adoption of Solutions
EOSC-SIESTA joins the EOSC-FIDELIS “Support for the Adoption of Solutions” training programme, offering tools for privacy-preserving data release. Selected teams will receive €7,500 in funding to participate in workshops between September and November 2026. Applications close June 30, 2026.
SIESTA Tool: Text Anonymization on Sensitive Data
EOSC-SIESTA has developed a text anonymization tool prototype to securely share sensitive cyber incident reports. Created by Universidad de León, the tool uses AI and four anonymization techniques to mask confidential data, enabling safe data reuse for research, machine learning, and collaborative cyber defence.
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.
New EOSC-SIESTA publication: privacy-preserving Federated Learning in medical imaging
A new EOSC-SIESTA publication by IFCA-CSIC, INRIA, and TU Delft explores privacy protection in Federated Learning using sensitive medical imaging data. The study proposes a metric-privacy-inspired noise calibration strategy that improves global model accuracy while defending against Client Inference Attacks.
Siesta Concepts: Open Science
Open Science promotes a transparent and collaborative research ecosystem, driven by Europe’s EOSC initiative. However, sharing sensitive data requires balancing openness with privacy. EOSC-SIESTA addresses this challenge by developing trusted, cloud-based environments and privacy-preserving tools that make sensitive data securely shareable and usable under FAIR principles.