Smart City Data Governance
Challenges and the Way Forward
Smart cities leverage technologies, in particular digital, to generate a vast amount of real-time data to inform policy- and decision-making for an efficient and effective public service delivery. Their success largely depends on the availability and effective use of data. However, the amount of data generated is growing more rapidly than governments’ capacity to store and process them, and the growing number of stakeholders involved in data production, analysis and storage pushes cities data management capacity to the limit. Despite the wide range of local and national initiatives to enhance smart city data governance, urban data is still a challenge for national and city governments due to: insufficient financial resources; lack of business models for financing and refinancing of data collection; limited access to skilled experts; the lack of full compliance with the national legislation on data sharing and protection; and data and security risks. Facing these challenges is essential to managing and sharing data sensibly if cities are to boost citizens’ well-being and promote sustainable environments.
Governing data in smart cities – A review of experiences
Creating effective data governance strategies, policies and frameworks to drive data quality while preserving security and privacy in a transparency framework is key to developing (smart) cities. Thus, this chapter provides an overview of the international practice in data governance to guide public sector efforts at the national and local levels in making more efficient use of data. It first discusses the importance of a strategy, reviews the strategies to enhance trust and examines the efforts to set data standards. It then takes up the issues of co-ordination for data sharing. It concludes with the case of data governance in smart mobility.
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