The Making of a 'Top' Open Data City: A Case Study of Edmonton’s Open Data Initiative
Jacqueline Corbett, Mathieu Templier, Hirotoshi Takeda
Abstract
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Jacqueline Corbett, Mathieu Templier, Hirotoshi Takeda
Abstract
Open-access reader
In recent years, various models and indexes have been proposed to evaluate and rate the performance of open data initiatives. However, little research examines cities’ open data initiatives in relation to these indexes and how cities achieve open data success. Through an exploratory case study of Edmonton, Canada’s top ranked open data city, this research sheds light on the mechanisms contributing to top-rated and successful open data initiatives. Our findings reveal current open data indexes emphasize publication of data sets over the measurement of impact. The case study suggests that to be successful, cities should approach open data as a continuing journey and must actively engage other stakeholders, particularly intermediaries and citizens. Finally, we observe that common myths constructed around open data help promote open data at a strategic level, but must be viewed skeptically at the operational level.
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In recent years, various models and indexes have been proposed to evaluate and rate the performance of open data initiatives. However, little research examines cities’ open data initiatives in relation to these indexes and how cities achieve open data success. Through an exploratory case study of Edmonton, Canada’s top ranked open data city, this research sheds light on the mechanisms contributing to top-rated and successful open data initiatives. Our findings reveal current open data indexes emphasize publication of data sets over the measurement of impact. The case study suggests that to be successful, cities should approach open data as a continuing journey and must actively engage other stakeholders, particularly intermediaries and citizens. Finally, we observe that common myths constructed around open data help promote open data at a strategic level, but must be viewed skeptically at the operational level.
Key concepts: Open data, Intermediary, Exploratory research, Open research, Computer science, Business, Public relations, Data science