Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
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.
Recommended Citation
Bozkurt, Yusuf; Rossmann, Alexander; and Pervez, Zeeshan, "A Reference Model for Urban Data Governance and its Design Principles" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 2.
https://aisel.aisnet.org/hicss-57/dg/smart_cities/2
A Reference Model for Urban Data Governance and its Design Principles
Hilton Hawaiian Village, Honolulu, Hawaii
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.
https://aisel.aisnet.org/hicss-57/dg/smart_cities/2