Reference : Open Data Portal Quality Comparison using AHP

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/27952

Title :	Open Data Portal Quality Comparison using AHP
Language :	English
Translated title :	[en] Comparison de la Qualité des Open Data portails utilisant AHP
Author, co-author :	Kubler, Sylvain [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Robert, Jérémy [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Le Traon, Yves [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Umbrich, Jürgen [Vienna University of Economics and Business > Institute for Information Business > > Dr.]
	Neumaier, Sebastian [Vienna University of Economics and Business > Institute for Information Business > > Dr.]
Publication date :	7-Jun-2016
Main document title :	Proceedings of the 17th International Digital Government Research Conference on Digital Government Research
Publisher :	ACM
Pages :	397-407
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-1-4503-4339-8
City :	New York
Country :	USA
Event name :	17th International Digital Government Research Conference on Digital Government Research
Event date :	from 08-06-2016 to 10-06-2016
Event place (city) :	Shanghai
Event country :	China
Keywords :	[en] Open Data ; e-Government ; Data Quality ; Multi-Criteria Decision Making ; Analytic Hierarchy Process ; Information Quality
Abstract :	[en] During recent years, more and more Open Data becomes available and used as part of the Open Data movement. However, there are reported issues with the quality of the metadata in data portals and the data itself. This is a seri- ous risk that could disrupt the Open Data project, as well as e-government initiatives since the data quality needs to be managed to guarantee the reliability of e-government to the public. First quality assessment frameworks emerge to eval- uate the quality for a given dataset or portal along various dimensions (e.g., information completeness). Nonetheless, a common problem with such frameworks is to provide mean- ingful ranking mechanisms that are able to integrate sev- eral quality dimensions and user preferences (e.g., a portal provider is likely to have different quality preferences than a portal consumer). To address this multi-criteria decision making problem, our research work applies AHP (Analytic Hierarchy Process), which compares 146 active Open Data portals across 44 countries, powered by the CKAN software.
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/27952
DOI :	10.1145/2912160.2912167
Other URL :	http://dl.acm.org/citation.cfm?id=2912167
Framework Programme / European Project :	H2020 ; 688203 - bIoTope - Building an IoT OPen innovation Ecosystem for connected smart objects
FnR project :	FnR ; FNR9095399 > Sylvain Kubler > > Internet of Things for Context-aware Building Energy & Health Management > 01/07/2015 > 30/06/2017 > 2014

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