Big Data in the Public Sector. Linking Cities to Sensors

Fraefel, Marianne; Haller, Stephan; Gschwend, Adrian (2017). Big Data in the Public Sector. Linking Cities to Sensors In: 16th IFIP WG 8.5 International Conference, EGOV 2017 10428 (pp. 276-286). Springer 10.1007/978-3-319-64677-0_23

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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.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	Business School > Institute for Public Sector Transformation > Data and Infrastructure Business School
Name:	Fraefel, Marianne; Haller, Stephan0000-0002-1950-4124 and Gschwend, Adrian
ISBN:	978-3-319-64677-0
Publisher:	Springer
Language:	English
Submitter:	Service Account
Date Deposited:	21 Oct 2019 13:17
Last Modified:	18 Dec 2020 13:28
Publisher DOI:	10.1007/978-3-319-64677-0_23
Related URLs:	Author
Uncontrolled Keywords:	Big data · Internet of things · Open government data · Linked data · Public sector · Smart city · Data quality · Platform federation
ARBOR DOI:	10.24451/arbor.7778
URI:	https://arbor.bfh.ch/id/eprint/7778