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Data Quality Assessment Framework

Five dimensions--assurances of integrity, methodological soundness, accuracy and reliability, serviceability, and accessibility--of data quality and a set of prerequisites for data quality are the center of the IMF Data Quality Assessment Framework (DQAF). The DQAF, which is used for comprehensive assessments of countries' data quality, covers institutional environments, statistical processes, and characteristics of the statistical products.

View or print a 4-page Factsheet.

The generic DQAF July 2003 serves as an umbrella for seven dataset-specific frameworks. The current July 2003 version of the DQAF was introduced at the Fifth Review of the Fund's Data Standards Initiatives. This version is a refinement of the preceding July 2001 version to reflect experience and international statistical developments, particularly updated international methodological standards.

(1) DQAF July 2003 National accounts statistics
(2) DQAF July 2003 Consumer price index
(3) DQAF July 2003 Producer price index
(4) DQAF July 2003 Government finance statistics
(5) DQAF July 2003 Monetary statistics
(6) DQAF July 2003 Balance of payments statistics
(7) DQAF July 2003 External debt statistics
In collaboration with the World Bank, a DQAF module on household income in a poverty context has also been developed.

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