Open Data, Information Processing, and Datification in Government
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ItemCo-creating an Open Government Data Driven Public Service: The Case of Chicago’s Food Inspection Forecasting Model( 2018-01-03)Large amounts of Open Government Data (OGD) have become available and co-created public services have started to emerge, but there is only limited empirical material available on co-created OGD-driven public services. To address this shortcoming and explore the concept of co-created OGD-driven public services the authors conducted an exploratory case study. The case study explored Chicago’s use of OGD in the co-creation of a predictive analytics model that forecasts critical safety violations at food serving establishments. The results of this exploratory work allowed for new insights to be gained on co-created OGD-driven public services and led to the identification of six factors that seem to play a key role in allowing for a OGD-driven public service to be co-created. The results of the initial work also provide valuable new information that can be used to aid in the development and improvement of the authors’ conceptual model for understanding co-created OGD-driven public service.
ItemThe Making of a 'Top' Open Data City: A Case Study of Edmonton’s Open Data Initiative( 2018-01-03)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.