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2017 | OriginalPaper | Buchkapitel

The Data Quality Framework for the Estonian Public Sector and Its Evaluation

Establishing a Systematic Process-Oriented Viewpoint on Cross-Organizational Data Quality

verfasst von : Jaak Tepandi, Mihkel Lauk, Janar Linros, Priit Raspel, Gunnar Piho, Ingrid Pappel, Dirk Draheim

Erschienen in: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV

Verlag: Springer Berlin Heidelberg

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Abstract

In this paper, we describe a data quality framework for public sector organizations is proposed. It includes a data quality methodology for the public sector organizations (DQMP) and a complex of state-level activities for improving data quality in the public sector. The DQMP comprises a data quality model, a data quality maturity model, and a data quality management process. Based on this framework, two guidelines have been developed: a data quality handbook for public sector organizations and guidelines for improving data quality in the public sector. The results of the evaluation of the data quality handbook on three basic Estonian state registers highlight lessons learned and confirm the usefulness of the approach. The paper aims at researchers investigating data quality in various environments and practitioners involved in information systems management, development, and maintenance.

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Nächstes Kapitel Bridging the Gap Between the Business and Social Worlds: A Data Artifact-Driven Approach
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Metadaten
Titel
The Data Quality Framework for the Estonian Public Sector and Its Evaluation
verfasst von
Jaak Tepandi
Mihkel Lauk
Janar Linros
Priit Raspel
Gunnar Piho
Ingrid Pappel
Dirk Draheim
Copyright-Jahr
2017
Verlag
Springer Berlin Heidelberg
Buch
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV

Print ISBN: 978-3-662-56120-1

Electronic ISBN: 978-3-662-56121-8

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-662-56121-8_1