Abstract
The management of complex data initiatives has raised much attention in the research and practice of smart cities. Of particular interest is understanding how city authorities can manage the resource transfer and coordination of activities to successfully underpin initiatives like open data, smart devices, planning analytics and other data-intensive applications. However, research on how capabilities can be developed at the city data level as an aggregated unit of analysis remains scarce. Our paper develops a process study of capability development in smart city data ecosystems by drawing on a case study of London’s city data. The study focuses on two key entities within London’s smart city environment: the London Datastore (2010-2019) and the City Analytics Programme (2016-2019). The analysis discusses the evolutionary phases of each entity characterised by key actors, level of coordination and prominent mechanisms of capability development. Further to extending our theoretical understanding of capability development within an ecosystem context, insights from the paper are of value to city authorities considering how to scale up and integrate local data projects.
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