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Big Data in the Public Sector. Linking Cities to Sensors

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 non-traditional 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.
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Marianne Fraefel, Stephan Haller, Adrian Gschwend. Big Data in the Public Sector. Linking Cities to Sensors. 16th International Conference on Electronic Government (EGOV), Sep 2017, St. Petersburg, Russia. pp.276-286, ⟨10.1007/978-3-319-64677-0_23⟩. ⟨hal-01702973⟩

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