Toward a Framework for Assessing Data Quality

March 1, 2001

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Format: Chicago

Carol S Carson. Toward a Framework for Assessing Data Quality, (USA: International Monetary Fund, 2001) accessed December 26, 2024

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

This paper describes work in progress on data quality, an important element of greater transparency in economic policy and financial stability. Data quality is being dealt with systematically by the IMF through the development of data quality assessment frameworks complementing the IMF’s Special Data Dissemination Standard (SDDS) and General Data Dissemination System (GDDS). The aim is to improve the quality of data provided by countries to the IMF; and to assess evenhandedly the quality of countries’ data in Reports on the Observance of Standards and Codes. The frameworks bring together best practices including those of the United Nations Fundamental Principles of Official Statistics.

Subject: Data dissemination, Data Quality Assessment Framework (DQAF), Labor, Special Data Dissemination Standard (SDDS)

Keywords: Data quality, Dataset, Information, WP

Publication Details

Pages:

69
Volume:

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DOI:

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Issue:

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Series:

Working Paper No. 2001/025
Stock No:

WPIEA0252001
ISBN:

9781451844269
ISSN:

1018-5941

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