Data-Driven Intelligent Platforms—Design of Self-Sovereign Data Trust Systems
Ana Balan,
Andi Gabriel Tan,
Karima Kourtit and
Peter Nijkamp
Additional contact information
Ana Balan: Additech Fit, 700071 Iași, Romania
Andi Gabriel Tan: Axiologic Research, 700070 Iași, Romania
Karima Kourtit: Faculty of Management, Open University, 6419 AT Heerlen, The Netherlands
Land, 2023, vol. 12, issue 6, 1-21
Abstract:
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.
Keywords: digital service platforms; self-sovereignty; digital trust ecosystems; blockchains; decentralised brands; verifiable credentials; PharmaLedger; data-sharing unit (DSU); OpenDSU; decentralised identifiers (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:6:p:1224-:d:1169670
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