Secure
Interactive Environments for SensiTive data Analytics

Effective and secure data processing within the European Open Science Cloud

Secure
Interactive Environments for SensiTive data Analytics

Effective and secure data processing within the European Open Science Cloud


Discover our solutions

Interactive dashboard

Portal with a set of tools and services to ease the secure sharing of sensitive data

security hardening

Secure computing platform providing a trusted execution environment

STORAGE

S3 storage management system for sharing the storage between teams

THEMATIC CATALOGS

Dedicated services catalogs, such as epidemiology, text anonymization or epidemiology

PRIVACY TOOLS

Specific anonymization and differential privacy tools can be used interactively



Use cases


Latest from EOSC-SIESTA:

  • Science Europe’s 40 members rally behind EOSC Partnership in FP10

    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. Read more..

  • Discover pyCANON: assessing dataset anonymity in EOSC-SIESTA

    Discover pyCANON: assessing dataset anonymity in EOSC-SIESTA

    pyCANON is an open-source Python library and web application developed within EOSC-SIESTA to assess the anonymity and privacy risks of tabular datasets. Integrated into the project’s dashboard, it evaluates data against key anonymity models like k-anonymity and l-diversity, enabling researchers to make informed decisions before sharing sensitive information. Read more..

  • Siesta Concepts #2: Anonymization

    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. Read more..


Consortium