OECD Statistics and Data Quality Assurance Framework

High-quality, internationally comparable statistics and data are essential to effective policy analysis and evidence-informed decision making. The OECD Statistics and Data Quality Assurance Framework provides a coherent and forward-looking approach to safeguarding the quality, credibility and trustworthiness of OECD statistics and data. It updates the OECD’s previous editions to reflect a rapidly evolving data environment, including the growing use of new and secondary data sources, advanced analytical techniques and artificial intelligence. The Framework defines how the quality of statistics, data and metadata is understood at the OECD and sets out principles, objectives and processes to support continuous improvement throughout the data lifecycle. While primarily intended to guide quality management across the OECD, it can also serve, alongside the OECD Recommendation on Good Statistical Practice, as a reference for national and international statistical authorities seeking to review, modernise or strengthen their own quality assurance frameworks. By promoting common quality principles and good statistical practices, the Framework aims to reinforce trust in statistics and support their effective use by people and machines.