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The IMF's Data Quality Assessment Framework (DQAF) was developed as an assessment methodology that aims to provide structure and a common language for assessing data quality. The DQAF facilitates a comprehensive view of data quality, recognizing interrelations, including tradeoffs, among quality elements, and allows emphases to vary across data categories and uses/users. It facilitates dialogue with national statistical agencies and country authorities and a more homogenous approach to assessing data quality by Fund staff.

The current version (DQAF July 2003) is available http://dsbb.imf.org/images/pdfs/dqrs_Genframework.pdf

It was introduced at the Fifth Review of the Fund's Data Standards Initiatives and served as an umbrella for seven dataset-specific frameworks. The DQAF July 2003 is a refinement of the preceding July 2001 version to reflect the experience and international statistical developments, particularly updated international methodological standards. The dataset-specific frameworks are available on the IMF’s Dissemination Standards Bulletin Board at http://dsbb.imf.org/Pages/DQRS/DQAF.aspx