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.
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Data Quality Assessment Framework (DQAF)
- Issuer
- IMF Statistics Department 1
- Scope
- International
- What it covers
- Prerequisites of quality and five dimensions: integrity, methodological soundness, accuracy and reliability, serviceability, accessibility. Revision studies and revision policy are named elements 1
- Source
- DQAF for National Accounts Statistics, May 2012 1
Special Data Dissemination Standard (SDDS)
Enhanced General Data Dissemination System (e-GDDS)
Fundamental Principles of Official Statistics
UN National Quality Assurance Frameworks Manual for Official Statistics
ISO 8000-1:2022 Data quality, Part 1 Overview
European Statistics Code of Practice
Code of Practice for Statistics, edition 3.0
5 CFR Part 1321, Responsibilities of Recognized Statistical Agencies and Units
ABS Data Quality Framework
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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.
Rules and charges change. Check the official source linked on this page before you pay or travel. Spotted an error? Email hello@recordsdisagree.com.
Sources
- International Monetary Fund: Data Quality Assessment Framework (DQAF) for National Accounts Statistics (May 2012)
- Eurostat: European Statistics Code of Practice
- 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)
- Australian Bureau of Statistics: Part B, The ABS data quality framework (23 December 2015)
- UN Statistics Division: Fundamental Principles of Official Statistics
- UN Statistics Division: Methodology, data quality
- ISO: ISO 8000-1:2022 Data quality, Part 1 Overview
- Legal Information Institute: 5 CFR 1321.6 Credibility and accuracy
- International Monetary Fund: Dissemination Standards Bulletin Board
- Legal Information Institute: 5 CFR Part 1321, Responsibilities of Recognized Statistical Agencies and Units