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DATA QUALITY ASSESSMENT FRAMEWORK (DQAF)

Statistics Directorate    
Definition:
The IMF's 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.

Context:
Three main areas were envisioned in which an assessment methodology, such as that provided by the DQAF, could be helpful.

First, the DQAF could be useful to guide countries’ efforts to strengthen their statistical systems by providing a self-assessment tool and to identify areas for improvement in which donor support might be sought.

Second, the DQAF could be useful in guiding IMF staff in preparing Reports on the Observance of Standards and Codes (ROSCs), in assessing the quality of data provided for country surveillance and operations, and in designing programs of technical assistance.

Third, the DQAF could help guide data users—both in the private and the public sectors—in gauging data quality for their own purposes. In this sense, it could serve as a useful complement to the quality dimensions included in the SDDS and the GDDS.

Source Publication:
The Fourth Review of the Fund's Data Standards' Initiatives: Supplement on the Data Quality Assessment Framework, IMF, Washington DC, 10 July 2001.

Cross References:
Data dissemination standards
Data Quality Reference Site (DQRS)
Quality – IMF

Hyperlink:
http://www.imf.org/external/np/sta/dsbb/2001/071001.pdf

Statistical Theme: Quality, statistical

Created on Monday, July 29, 2002

Last updated on Wednesday, January 04, 2006