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Keeping quality under review
Openness about quality should lead to review. Data sources evolve, systems are updated, methods improve and user expectations shift. Producers therefore need to learn and adapt through continuous monitoring, curiosity and a willingness to revisit previous decisions in the light of new evidence. In practice, this brings the three standards together: a culture that supports learning, rigorous testing of data and methods, and open communication about what is changing and why.
The need for review is particularly important as the statistical landscape changes. New data sources and emerging technologies offer significant opportunities, but they also introduce new challenges around bias, uncertainty and public understanding. In these circumstances, the quality standards provide a framework for maintaining confidence by helping producers keep their statistics relevant, reliable and clearly explained.