Abstract:

Data is a key resource for urban governance in the digital era. Data governance focused on unleashing the value of data elements is the foundation for the modernization of urban governance. The current literature lacks an analysis of the theoretical connotation of data governance and its support for modernization of urban governance from the holistic perspective of urban governance. This paper explores data governance from three aspects: date-based, data-oriented, and data-processed. Through theoretical analysis and a practical summary, this paper identifies four types of data elements in urban governance: urban spatiotemporal data, operational data, service data, and management data. It also elucidates the theoretical basis of how data governance can promote urban governance, as well as the practical pathways to promote its capabilities in perception, understanding, decision-making precision, and coordination. Data governance provides new impetus and mechanisms for urban governance by promoting positive change in urban governance concepts, enhanced governance capacity, improvement of governance resources, and innovation in governance mechanisms.

Key words: data governance, data resources, urban governance, governance innovation