Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50197

Co-creating an Open Government Data Driven Public Service: The Case of Chicago’s Food Inspection Forecasting Model

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Title:Co-creating an Open Government Data Driven Public Service: The Case of Chicago’s Food Inspection Forecasting Model
Authors:McBride, Keegan
Aavik, Gerli
Kalvet, Tarmo
Krimmer, Robert
Keywords:Open Data, Information Processing, and Datification in Government
co-creation, co-production, open data, open government data, public service innovation
Date Issued:03 Jan 2018
Abstract: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.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/50197
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.309
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Open Data, Information Processing, and Datification in Government


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