Data Quality and Effectiveness

We ensure that our data work and products are of the highest quality by using standards, methodologies, sources, definitions, and classifications that are internationally accepted.

General Data Dissemination System (GDDS)

The GDDS is a framework for assessing national statistical systems and promoting improved dissemination and effectiveness that has been developed by the International Monetary Fund (IMF), in close collaboration with the World Bank. It (i) encourages countries to improve the quality of official statistics; (ii) provides a framework for evaluating need for data improvement and setting priorities for statistical development; and (iii) guides participating countries in the public dissemination of comprehensive, timely, accessible and reliable economic, financial and socio-demographic statistics.

Data Quality Assessment Framework (DQAF)

The DQAF has been developed by the IMF, in collaboration with the World Bank, as a methodology for assessing data quality that brings together best practices and internationally accepted concepts and definitions in statistics, including those of the United Nations Fundamental Principles of Official Statistics and the GDDS. It facilitates a comprehensive view of data quality, one that recognizes interrelations, including tradeoffs, among elements of quality and allows emphases to vary across data categories and uses/users.

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