%0 Conference Proceedings
%T Towards Open Data Quality Improvements Based on Root Cause Analysis of Quality Issues
%+ Corvinus University of Budapest
%A Csáki, Csaba
%Z Part 2: Open Data, Linked Data, and Semantic Web
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th International Conference on Electronic Government (EGOV)
%C Krems, Austria
%Y Peter Parycek
%Y Olivier Glassey
%Y Marijn Janssen
%Y Hans Jochen Scholl
%Y Efthimios Tambouris
%Y Evangelos Kalampokis
%Y Shefali Virkar
%I Springer International Publishing
%3 Electronic Government
%V LNCS-11020
%P 208-220
%8 2018-09-03
%D 2018
%R 10.1007/978-3-319-98690-6_18
%K Data cleansing
%K Root cause analysis
%K Open data quality
%K Public procurement
%K Data quality framework
%K Open data reuse
%K Open data
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Commercial reuse of open government data in value added services has gained a lot of interest both as practice and as a research topic over the last few years. However, utilizing open data without proper understanding of potential quality issues carries the risk of undermining the value of the service that relies on public sector information. Instead of establishing a data quality assessment framework this research considers a review of typical open data quality issues and intends to connect them to the causes leading to these various data problems. Open data specific problems are concluded from a case study and then theoretical and empirical arguments are used to connect them to root causes emerging from the peculiarities of the public sector data management process. This way both practitioners could be more conscious about appropriate cleansing methods and participants shaping the data management process could aim at eliminating root causes of data quality issues.
%G English
%Z TC 8
%Z WG 8.5
%2 https://inria.hal.science/hal-01961523/document
%2 https://inria.hal.science/hal-01961523/file/472235_1_En_18_Chapter.pdf
%L hal-01961523
%U https://inria.hal.science/hal-01961523
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-EGOV
%~ IFIP-WG8-5
%~ IFIP-LNCS-11020