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Multi-Owner data Sharing for Analytics and Integration respecting Confidentiality and Owner control

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.

Coordinator

UNIVERSITA DEGLI STUDI DI MILANO

Address

Via Festa Del Perdono 7
20122 Milano

Italy

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 700 000

Participants (5)

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EMC INFORMATION SYSTEMS INTERNATIONAL

Ireland

EU Contribution

€ 456 250

MASTERCARD EUROPE

Belgium

EU Contribution

€ 500 000

SAP SE

Germany

EU Contribution

€ 546 875

UNIVERSITA' DEGLI STUDI DI BERGAMO

Italy

EU Contribution

€ 500 625

GEIE ERCIM

France

EU Contribution

€ 500 000

Project information

Grant agreement ID: 825333

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2021

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 3 203 750

  • EU contribution

    € 3 203 750

Coordinated by:

UNIVERSITA DEGLI STUDI DI MILANO

Italy