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Discussing Data: Evaluating Data Quality

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  • Thealexa Becker

Abstract

Data-driven organizations are becoming increasingly aware of data quality in order to mature their data activities. Data quality is of particular concern to research functions, but many existing frameworks are not well suited for use by researchers. This paper discusses existing data quality frameworks and focuses on one that meets the needs of research functions. A modified version of that framework is described along with details for use with a wide range of data.

Suggested Citation

  • Thealexa Becker, 2019. "Discussing Data: Evaluating Data Quality," Technical Briefings TB 19-03, Federal Reserve Bank of Kansas City.
    • Handle: RePEc:fip:k00002:87623
    DOI: 10.18651/TB/TB1903
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    Keywords

    Data; Research;

    Statistics

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