Project description
Protecting privacy when sharing data
The continuous evolution of ICT is enabling the realisation of architectures that support collaborative data sharing and analytics, providing great benefits from the personal to the business, research, and social domains. However, private and public institutions need ways to share data without compromising sensitive personal information. The EU-funded MOSAICrOWN project will enable data sharing and collaborative analytics in multi-owner scenarios in a privacy-preserving way, ensuring proper protection of private, sensitive and confidential information. The goal is to provide agile, deployable solutions allowing data owners to have control of the data sharing process by enabling selective and sanitised disclosure. The related advances will fully unlock efficient and privacy-aware collaborative computations.
Objective
The application of data analysis techniques over large data collections provides great benefits, from the personal, to the business, research, and social domain. The availability of large data collections recording actions and choices of individuals and organisations can lead to great improvement in the understanding of how the world operates. The continuous evolution of ICT is enabling the realisation of such vision at a fast pace, supporting the realisation of architectures enabling collaborative data sharing and analytics. A clear obstacle towards the realisation of such potential and vision is represented by security and privacy concerns. Indeed, the (actual or perceived) loss of control over data and potential compromise of their confidentiality can have a strong detrimental impact on the realisation of an open framework for enabling the sharing of data from multiple independent data owners. The goal of MOSAICrOWN is to enable data sharing and collaborative analytics in multi-owner scenarios in a privacy-preserving way, ensuring proper protection of private/sensitive/confidential information. MOSAICrOWN will provide effective and deployable solutions allowing data owners to maintain control on the data sharing process, enabling selective and sanitised disclosure providing for efficient and scalable privacy-aware collaborative computations. MOSAICrOWN Consortium sees the participation of major industry players, providing strategic use cases with strong exploitation and impact, and of an SME supporting deployment and standardisation.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
20122 Milano
Italy