digital.me

This project aims at the integration and management of all personal data within a user’s personal sphere via a single user-controlled point of access: the digital.me userware. Disclosable,  privacy-aware and context-dependant personal information will be automatically shared with peers, services and social networks. The use and disclosure of personal information for private, and business life is a major trend in information society. Advantages like enhancing social contacts, personalising services and products compromise with notable privacy risks arising from the user s loss of control over their personal data and digital footprints. Large amounts of scattered personal data lead to information overload, disorientation, loss of efficiency. digital.me aims at integrating all personal data in a personal sphere by a single, user-controlled point of access: the digital.me userware. This tool will run on the user s devices, and rely on scaleable peer-to-peer communication in order to avoid external storage of personal data as far as possible and to enhance data portability. External services (e.g. web-communities, enterprise systems) will be integrated via gateways. Communication to individuals and services will make use of digital faces, i.e. user data selected for a particular purpose and context. An open trust, privacy, and security infrastructure will enable the user to securely use personal data. Trust metrics will guide the user to avoid risky behaviour. Anonymous data disclosure, data withdrawal and policies will foster privacy and trust. A semantic core with data mining, semantic mapping and reasoning, will support an intelligent management of personal data and communication history including recommendations how to take advantage of the personal sphere. The main contribution by DERI to the project lies within the design of the semantic core. Intelligent user interfaces on desktop and mobile devices will promote the intuitive usage of powerful semantic and privacy-technologies and will enable the user to monitor, control, and interpret personal data. The project implements a user-driven design process. Usability and uptake will be monitored and improved by large-scale quantitative evaluations supporting a scaleable test-concept. Leading industrial partners will involve their customers for validating the project s artefacts with consumers and professional users.