The growing availability of data over the last decades has given rise to a number of successful technologies, ranging from data collection and storage infrastructures to hardware and software tools for efficient computation of analytics. This context, in principle, places a great demand on data quality. As a matter of fact, experience has shown that the open Web and other platforms hosting user-generated content or real-time data can provide little quality control at content production time. To address these challenges, our aim is to provide a general and configurable model for assessing data quality supporting task composition. In particular, we introduce a model characterized along the notion of matching, illustrating the issues that can be addressed by this approach with a concrete case study. We also identify and discuss challenges to be addressed in future research to strengthen this idea.
Towards Configurable Composite Data Quality Assessment / P. Ceravolo, E. Bellini - In: 2019 IEEE 21st Conference on Business Informatics (CBI)[s.l] : IEEE, 2019 Aug. - ISBN 9781728106502. - pp. 249-257 (( Intervento presentato al 21. convegno Conference on Business Informatics (CBI) tenutosi a Moscow nel 2019 [10.1109/CBI.2019.00035].
Towards Configurable Composite Data Quality Assessment
P. Ceravolo
;
2019
Abstract
The growing availability of data over the last decades has given rise to a number of successful technologies, ranging from data collection and storage infrastructures to hardware and software tools for efficient computation of analytics. This context, in principle, places a great demand on data quality. As a matter of fact, experience has shown that the open Web and other platforms hosting user-generated content or real-time data can provide little quality control at content production time. To address these challenges, our aim is to provide a general and configurable model for assessing data quality supporting task composition. In particular, we introduce a model characterized along the notion of matching, illustrating the issues that can be addressed by this approach with a concrete case study. We also identify and discuss challenges to be addressed in future research to strengthen this idea.File | Dimensione | Formato | |
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