%0 Conference Proceedings
%T Big Data in the Public Sector. Linking Cities to Sensors
%+ Bern University of Applied Sciences (BFH)
%A Fraefel, Marianne
%A Haller, Stephan
%A Gschwend, Adrian
%Z Part 5: Big and Open Linked Data
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th International Conference on Electronic Government (EGOV)
%C St. Petersburg, Russia
%Y Marijn Janssen
%Y Karin Axelsson
%Y Olivier Glassey
%Y Bram Klievink
%Y Robert Krimmer
%Y Ida Lindgren
%Y Peter Parycek
%Y Hans J. Scholl
%Y Dmitrii Trutnev
%I Springer International Publishing
%3 Electronic Government
%V LNCS-10428
%P 276-286
%8 2017-09-04
%D 2017
%R 10.1007/978-3-319-64677-0_23
%K Big data
%K Internet of things
%K Open government data
%K Linked data
%K Public sector
%K Smart city
%K Data quality
%K Platform federation
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%Z WG 8.5
%2 https://inria.hal.science/hal-01702973/document
%2 https://inria.hal.science/hal-01702973/file/453552_1_En_23_Chapter.pdf
%L hal-01702973
%U https://inria.hal.science/hal-01702973
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-EGOV
%~ IFIP-WG8-5
%~ IFIP-LNCS-10428