Motor de anonimização / pseudoanonimização

It is planned the development of an anonymization engine that guarantees the (pseudo)anonymization of data ingested or exported by the data lake. Taking into account the state of the art in (pseudo)anonymization, the engine should implement a set of functionalities to facilitate the sharing and analysis of data in data lake environments. For example, the implementation of facilitating mechanisms for the application of Federated Learning solutions. The engine should also be built in a modular way so that it can be used for (pseudo) one-off anonymizations (e.g. research projects), (pseudo) continuous anonymizations (e.g. biobanks) or as a plugin to the source system (for anonymization at source). Finally, it must be able to handle different types of data, both structured and unstructured. This product will be used in (pseudo)anonymization pipelines that aim to remove or replace (in the case of pseudonyms) identifying and sensitive data, helping to comply with applicable legislation (e.g. the GDPR).

Date Start

Jan. 3, 2023

Date End

Dec. 31, 2025