A Reference Model for Urban Data Governance and its Design Principles

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dc.contributor.authorBozkurt, Yusuf
dc.contributor.authorRossmann, Alexander
dc.contributor.authorPervez, Zeeshan
dc.date.accessioned2023-12-26T18:38:14Z
dc.date.available2023-12-26T18:38:14Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.274
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.othercdeec79a-ed41-4e20-80ea-cf01f3d657f9
dc.identifier.urihttps://hdl.handle.net/10125/106653
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSmart and Connected Cities and Communities
dc.subjectdata governance
dc.subjectreference model
dc.subjectsmart city
dc.subjecturban data governance
dc.titleA Reference Model for Urban Data Governance and its Design Principles
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractSmart cities are data factories, generating a huge amount of heterogeneous data in a complex network with many actors. Yet municipalities struggle to properly manage urban data to maximize data utilization in smart city services delivered to their citizens. Data governance is a concept that helps manage the city's data assets properly. However, cities face difficulties in implementing data governance because of a lack of guidance from academia and practitioners tailored to cities' needs. This paper presents an urban data governance reference model created in line with the design science research paradigm. The reference model presents the design principles of urban data governance within eight dimensions, synthesized from expert interviews with 27 European Union cities and a literature review.
dcterms.extent10 pages
prism.startingpage2213

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