The IMF's Data Quality Assessment Framework (DQAF) was developed as an assessment methodology that aims to provide structure and a common language for the assessment of data quality. The DQAF 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. It facilitates dialogue with national statistical agencies and country authorities, as well as 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 serves as an umbrella for seven dataset-specific frameworks. The DQAF July 2003 is a refinement of the preceding July 2001 version to reflect 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