TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Bozkurt, Yusuf
A1  - Rossmann, Alexander
A1  - Pervez, Zeeshan
T1  - A reference model for urban data governance and its design principles
T2  - Proceedings of the 57th Hawaii International Conference on System Sciences 2024 (HICSS)
N2  - Smart 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.
Y1  - 2024
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-53903
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-53903
SP  - 2213
EP  - 2222
S1  - 10
PB  - University of Hawaiʻi at Mānoa
CY  - Honolulu, HI
ER  -