Imagine a digital vault where researchers can study private information without ever actually seeing the personal details. It's like a high-security library where you can analyze the books, but the pages are blurred out just enough to protect identities. This ensures that the results are accurate and can be repeated by others without risking a data leak.
Companies and researchers struggle to share sensitive data for analysis because traditional 'safe rooms' are hard to use and prevent others from replicating the results.
A cloud-based platform featuring a web portal, remote desktops, and specific privacy tools including pyCANON, Anjana, BIDScramble, and DatLeak.
If you are a medical imaging provider dealing with patient privacy laws — this project developed tools like BIDScramble and DatLeak that remove identifying markers from scans. This allows you to share datasets for research while keeping patient identities hidden.
If you are a security firm dealing with sensitive cybercrime data — this project developed trusted cloud environments that allow for reproducible analysis. This means you can prove your findings to clients without exposing the raw, sensitive evidence.
If you are a government agency dealing with sensitive population statistics — this project developed anonymization tools like pyCANON and Anjana. This enables the secure sharing of demographic data across different regions while maintaining strict privacy.
Based on available project data, no specific pricing or cost structures are mentioned as the project is focused on the European Open Science Cloud (EOSC) ecosystem.
The project has focused on setting up technological foundations specifically for the upscale of the platform to reach a broader audience through the EOSC Federation.
Based on available project data, specific licensing terms are not listed, but the project emphasizes open science and FAIR principles for data reusability.
It provides state-of-the-art anonymization, pseudonymization, and differential privacy tools to ensure secure data ingestion and sharing.
The platform uses an infrastructure as code approach and provides a web portal and remote desktops to make it easier for users to access the environments.
The consortium is well-balanced for technology transfer, featuring 14 partners across 7 countries. With an industry ratio of 36% (including 5 industry partners and 2 SMEs), there is significant commercial interest alongside the 7 academic and research entities, suggesting the tools are being built with real-world application in mind.
Contact AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS in Spain
Contact us to explore integration of SIESTA anonymization tools into your data pipeline.
