Data-Driven Intelligent Platforms: Design of Self-Sovereign Data Trust Systems

A. Balan, A. G. Tan, K. Kourtit*, P. Nijkamp*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


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.

Original languageEnglish
Article number1224
Pages (from-to)1-21
Number of pages21
Issue number6
Publication statusPublished - 13 Jun 2023


  • Blockchains
  • Data-sharing unit (DSU)
  • Decentralised brands
  • Decentralised identifiers
  • Digital service platforms
  • Digital trust ecosystems
  • OpenDSU
  • PharmaLedger
  • Self-sovereignty
  • Verifiable credentials
  • blockchains
  • decentralised brands
  • decentralised identifiers
  • digital trust ecosystems
  • digital service platforms
  • verifiable credentials
  • self-sovereignty
  • data-sharing unit (DSU)


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