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Big Data in the Public Sector. Linking Cities to Sensors

URI
https://arbor.bfh.ch/handle/arbor/38552
Version
Published
Date Issued
2017
Author(s)
Fraefel, Marianne  
Haller, Stephan  
Gschwend, Adrian
Type
Conference Paper
Language
English
Subjects

Big data · Internet o...

Abstract
In the public sector, big data holds many promises for improving policy outcomes in terms of service delivery and decision-making and is starting
to gain increased attention by governments. Cities are collecting large amounts
of data from traditional sources such as registries and surveys and from nontraditional sources such as the Internet of Things, and are considered an important field of experimentation to generate public value with big data. The establishment of a city data infrastructure can drive such a development. This paper describes two key challenges for such an infrastructure: platform federation and data quality, and how these challenges are addressed in the ongoing research project CPaaS.io.
ISBN
978-3-319-64677-0
DOI
10.24451/arbor.7778
https://doi.org/10.24451/arbor.7778
Publisher DOI
10.1007/978-3-319-64677-0_23
Publisher URL
https://link.springer.com/chapter/10.1007%2F978-3-319-64677-0_23#citeas
Related URL
https://www.researchgate.net/profile/Marianne_Fraefel/publication/318879744_Big_Data_in_the_Public_Sector_Linking_Cities_to_Sensors/links/5a1fe024aca272cbfbc33cc2/Big-Data-in-the-Public-Sector-Linking-Cities-to-Sensors.pdf?origin=publication_detail author
Organization
Wirtschaft  
Institut Public Sector Transformation (IPST)  
Data and Infrastructure  
Volume
10428
Conference
16th IFIP WG 8.5 International Conference, EGOV 2017
Publisher
Springer
Submitter
ServiceAccount
Citation apa
Fraefel, M., Haller, S., & Gschwend, A. (2017). Big Data in the Public Sector. Linking Cities to Sensors (Vol. 10428, pp. 276–286). Springer. https://doi.org/10.24451/arbor.7778
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