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Data Quality Measures and Related Stress Factors: A Conceptual Framework to Account for Differences in Statistical Environments at Country and International Levels
Overview This paper builds on the previous work of the United Nations Food and Agricultural Organization (FAO) on data quality frameworks: focusing on the essential components of data quality at key points of the statistical process and relating these essential quality components to the data quality framework. The paper also illustrates how summary data quality measures can be adjusted (deflated/inflated) depending upon the stress factors experienced by national or international statistical offices. Data quality evaluation and monitoring is the focus at three different points in the statistical process: when data enters the national office, when data leaves the national office, and when data is disseminated by FAO.
| Publisher | Food and Agriculture Organization of the United Nation | File Format | |
|---|---|---|---|
| Date Published | April 2006 | Downloads | 1 |
| Format | White Papers | ||
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