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Directory · 10 entries

Data quality frameworks: directory

This directory lists the frameworks that set quality tests for official statistics and data. Each row comes from the issuer's own page or the rule text. Blank cells mean the page read did not state the fact. The IMF framework names revision studies and revision policy as elements of quality 1. The European code has 16 principles 2. US rules require statistical agencies to identify errors found after release 8.

Last checked 6 November 2026

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Notes

  • The OSR letter says it does not expect changes to already published statistics, but expects future publications to follow Code 3.0 3.

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Sources

  1. International Monetary Fund: Data Quality Assessment Framework (DQAF) for National Accounts Statistics (May 2012)
  2. Eurostat: European Statistics Code of Practice
  3. Office for Statistics Regulation: Ed Humpherson to Heads of Profession, Launch of the Office for Statistics Regulation (OSR)'s refreshed Code of Practice for Statistics (24 October 2025)
  4. Australian Bureau of Statistics: Part B, The ABS data quality framework (23 December 2015)
  5. UN Statistics Division: Fundamental Principles of Official Statistics
  6. UN Statistics Division: Methodology, data quality
  7. ISO: ISO 8000-1:2022 Data quality, Part 1 Overview
  8. Legal Information Institute: 5 CFR 1321.6 Credibility and accuracy
  9. International Monetary Fund: Dissemination Standards Bulletin Board
  10. Legal Information Institute: 5 CFR Part 1321, Responsibilities of Recognized Statistical Agencies and Units