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

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

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 10680))

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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Author information

Authors and Affiliations

  1. Large-Scale Systems Group, Tallinn University of Technology, Akadeemia Tee 15a, 12618, Tallinn, Estonia

    Jaak Tepandi, Gunnar Piho, Ingrid Pappel & Dirk Draheim

  2. PricewaterhouseCoopers, Pärnu Mnt 15, 10141, Tallinn, Estonia

    Mihkel Lauk & Janar Linros

  3. Republic of Estonia Information System Authority, Pärnu Maantee 139a, Tallinn, 15169, Estonia

    Priit Raspel

Authors
  1. Jaak Tepandi
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  2. Mihkel Lauk
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  3. Janar Linros
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  4. Priit Raspel
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  5. Gunnar Piho
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  6. Ingrid Pappel
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  7. Dirk Draheim
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Corresponding author

Correspondence to Jaak Tepandi .

Editor information

Editors and Affiliations

  1. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  2. FAW, University of Linz, Linz, Austria

    Josef Küng

  3. FAW, University of Linz, Linz, Austria

    Roland Wagner

  4. King Saud bin Abdulaziz University, Riyadh, Saudi Arabia

    Sherif Sakr

  5. King Saud bin Abdulaziz University, Riyadh, Saudi Arabia

    Imran Razzak

  6. King Saud bin Abdulaziz University, Riyadh, Saudi Arabia

    Alshammari Riyad

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Tepandi, J. et al. (2017). The Data Quality Framework for the Estonian Public Sector and Its Evaluation. In: Hameurlain, A., Küng, J., Wagner, R., Sakr, S., Razzak, I., Riyad, A. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV. Lecture Notes in Computer Science(), vol 10680. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56121-8_1

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

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  • Online ISBN: 978-3-662-56121-8

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