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Data Quality Measurement Principles And Dimensions

Author

Listed:
  • Daina ŠKILTERE

    (Head of the Chair of economic systems management theory and methods, Faculty of Economics and Management, University of Latvia)

  • Svetlana JESILEVSKA

    (Faculty of Economics and Management, University of Latvia, Central statistical bureau of Latvia)

Abstract

The quality of statistical data is essential for effective decision-making. The problem of evaluating the quality of statistical data is not a new paradigm as rapid methodological changes and globalization complicate the generation of high quality statistical data in all areas. The problem is on selecting appropriate criteria to evaluate the quality of statistical data, not just related to the intention of statistical survey, but also to the beliefs held by both statisticians and respondents. As a result there is a strong need to discuss this topic. In this paper authors provide a multi-dimensional approach of measuring the quality of official statistical data and propose the system of characteristics to determine statistical data quality. To some of the proposed data quality characteristics not much attention has been paid previously.

Suggested Citation

  • Daina ŠKILTERE & Svetlana JESILEVSKA, 2013. "Data Quality Measurement Principles And Dimensions," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 2(2), pages 62-71, DECEMBER.
    • Handle: RePEc:aes:jsesro:v:2:y:2013:i:2:p:62-71.
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    More about this item

    Keywords

    statistical data; quality; measurement; validity; dimensions; quality measures;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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