Tag: SIESTA Dashboard
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: 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.
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: 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.
Discover UC3 Energy Domain Tool: optimising solar battery management in EOSC-SIESTA
EOSC-SIESTA addresses the challenge of analyzing sensitive data without compromising privacy through its energy domain use case (UC3). Focusing on solar installations, the project utilizes trusted execution environments and anonymization techniques to secure sensitive household consumption dat
Siesta Concepts #2: Anonymization
Data anonymization transforms sensitive datasets to prevent individual identification while keeping data useful. Within EOSC-SIESTA, two open-source tools help researchers sanitize quasi-identifiers and assess privacy risks by applying advanced anonymity models (like k-anonymity and l-diversity) to protect sensitive tabular data.