Portal with a set of tools and services to ease the secure sharing of sensitive data
Secure computing platform providing a trusted execution environment
S3 storage management system for sharing the storage between teams
Dedicated services catalogs, such as epidemiology, text anonymization or epidemiology
Specific anonymization and differential privacy tools can be used interactively

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..

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..

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..