CoMaFeDS: Consent Management for Federated Data Sources

摘要

This paper highlights the critical role of individually given consent for ensuring privacy in big data scenarios employing federated sources of personal data. It derives the need for consent management to be implemented in respective systems and identifies the most important requirements that have to be met. Based on already existing approaches like Hippocratic databases, sticky policies or distributed usage control, it develops a new approach of a consent management platform for federated data sources. In particular, this platform is intended to provide access and mining capabilities to various data utilizers based on technically mediated, purpose-and utilzer-specific consent -- an indispensable prerequisite for re-using already existing personal data for novel purposes in line with legal requirements.