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Authors: Antonella Zanzi 1 and Alberto Trombetta 2

Affiliations: 1 Università degli Studi dell’Insubria and European Commission, Italy ; 2 Università degli Studi dell’Insubria, Italy

ISBN: 978-989-8565-67-9

Keyword(s): Data Quality, Data Constraints, Data Dependencies, Order Dependencies, Existence Constraints.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Data Management and Quality ; Information Quality

Abstract: In this work we present the rule-based approach used to evaluate the quality of scientific datasets in a policy support context. The used case study refers to real datasets in a context where low data quality limits the accuracy of the analysis results and, consequently, the significance of the provided policy advice. The applied solution consists in the identification of types of constraints that can be useful as data quality rules and in the development of a software tool to evaluate a dataset on the basis of a set of rules expressed in the XML markup language. As rule types we selected some types of data constraints and dependencies already proposed in data quality works, but we experimented also the use of order dependencies and existence constraints. The case study was used to develop and test the adopted solution, which is anyway generally applicable to other contexts.

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Paper citation in several formats:
Zanzi, A. and Trombetta, A. (2013). Data Quality Evaluation of Scientific Datasets - A Case Study in a Policy Support Context.In Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-67-9, pages 167-174. DOI: 10.5220/0004476401670174

@conference{data13,
author={Antonella Zanzi. and Alberto Trombetta.},
title={Data Quality Evaluation of Scientific Datasets - A Case Study in a Policy Support Context},
booktitle={Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,},
year={2013},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004476401670174},
isbn={978-989-8565-67-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Data Quality Evaluation of Scientific Datasets - A Case Study in a Policy Support Context
SN - 978-989-8565-67-9
AU - Zanzi, A.
AU - Trombetta, A.
PY - 2013
SP - 167
EP - 174
DO - 10.5220/0004476401670174

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