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Data Quality monitoring and feedback system

Data Quality Measures and Related Stress Factors: A conceptual framework to account for differences in statistical environments at country and international levels Robert Mayo. Data Quality monitoring and feedback system. Essential Components of Data Quality at Dissemination.

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Data Quality monitoring and feedback system

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  1. Data Quality Measures and Related Stress Factors: A conceptual framework to account for differences in statistical environments at country and international levelsRobert Mayo Conference on Data Quality for International Organizations

  2. Data Quality monitoring and feedback system Conference on Data Quality for International Organizations

  3. Essential Components of Data Quality at Dissemination Conference on Data Quality for International Organizations

  4. Essential Components of Data Quality at Dissemination • Accuracy and Reliability • Transparency and Metadata; • Standard Classifications; Conference on Data Quality for International Organizations

  5. HS SITC ISIC CPC FAOSTAT and international classifications FAOSTAT Conference on Data Quality for International Organizations

  6. The integration of FAO into international Classifications HS SITC ISIC FAO Classifications CPC Conference on Data Quality for International Organizations

  7. Essential Components of Data Quality at Dissemination • Accuracy and Reliability • Transparency and Metadata; • Standard Classifications; • Timeliness; • Comparable Data Domains Conference on Data Quality for International Organizations

  8. Comparable Domains Trade Resources Trade Prices Trade Economics Input Prices Inputs Production Output Prices Consumption Prices Food and non Food Conference on Data Quality for International Organizations

  9. Essential Components of Data Quality at Dissemination • Accuracy and Reliability • Transparency and Metadata; • Standard Classifications; • Timeliness; • Comparable Data Domains; • Accessibility Adding Additional Value to Data • Scope and Coverage; • Data update schedule; • Estimates, Calibrations and Analytical Indicators Conference on Data Quality for International Organizations

  10. Measuring Overall Quality in the Statistical Process • Absolute and Relative Quality • Comparing across National Offices • Comparing across International Offices • Comparing over time Conference on Data Quality for International Organizations

  11. Measuring Overall Quality in the Statistical Process • Prepare summary measure of data quality – at the dissemination point; • Select “Benchmark” statistics office; • Prepare Data Quality Index with “Benchmark” statistics office as base; Conference on Data Quality for International Organizations

  12. Country Data Quality Index Conference on Data Quality for International Organizations

  13. Data Quality monitoring and feedback system Conference on Data Quality for International Organizations

  14. Stress Factors • Population (number), • Geographical size (sq kms), • Education (completion rate), • Income (gross national income), • Environment (e.g. recent natural disasters, conflict) Conference on Data Quality for International Organizations

  15. Stress Factor deflator/inflator Conference on Data Quality for International Organizations

  16. Adjusted Country Data Quality Index Conference on Data Quality for International Organizations

  17. Summary • Focus on Essential Components of data quality – at the dissemination point; • Recognize value adding items; • Select Benchmark Quality level; • Measure and Adjust Data Quality for Stress Conference on Data Quality for International Organizations

  18. Thank you Conference on Data Quality for International Organizations

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