Land, Vol. 12, Pages 1224: Data-Driven Intelligent Platforms—Design of Self-Sovereign Data Trust Systems

Land, Vol. 12, Pages 1224: Data-Driven Intelligent Platforms—Design of Self-Sovereign Data Trust Systems

Land doi: 10.3390/land12061224

Authors: Ana Balan Andi Gabriel Tan Karima Kourtit Peter Nijkamp

Urban areas provide the seedbed conditions for a variety of agglomeration advantages, including incubator conditions for the ICT sector. This study aims to present the foundations for a data-driven digital architecture based on the notion of open access platform organisations (e.g., platform cities). The principles of coordinated multi-actor data handling and exchange mechanisms centre in particular on privacy and confidentiality regulations. These are highlighted and tested on the basis of the data exchange architecture in a particular Industry 4.0 sector, viz., the medical–pharmaceutical sector. To cope with these issues, self-sovereign data trust systems are designed and tested using an OpenDSU data environment. Several building blocks of this architecture are presented and assessed. The conclusion of this study is that OpenDSU technology offers promising departures for handling privacy-sensitive and confidential data exchange in open platform organisations, such as smart cities.