Quality of administrative data in statistics
A framework to help you assess the quality of administrative data for use in the production of statistics.
Learn more on Quality of administrative data in statisticsThe guidance hub contains resources and reference information to help you with all aspects of your analytical work.
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A framework to help you assess the quality of administrative data for use in the production of statistics.
Learn more on Quality of administrative data in statisticsThe "Quality Questions and Red Flags" guidance is designed to give support and guidance to anyone working on statistical outputs and analysis across government.
Learn more on Quality questions and red flagsThis toolkit is designed to make designing, updating, and maintaining TOCs easier. It provides practical information to support the justification, design, application, communication, and review of TOCs. Many departments may have their own TOC tool to support users through the process.
Learn more on The Theory of Change Process – Guidance for Outcome Delivery PlansA review of the current gender identity data harmonised standard.
Learn more on Review of gender identity data harmonised standardThis guidance provides advice on how government departments should treat management information to get maximum value from it while protecting public trust in official statistics.
Learn more on National Statistician’s guidance: management information and official statisticsThis guidance sets out how to collect and report statistics about qualifications to ensure statistics about this topic are as comparable as possible across government.
Learn more on Qualifications harmonised standardThe Analysis Function Strategy sets out objectives for analysis in government over the next three years, and how the Analysis Function Central Team will work to achieve these aims.
Learn more on Analysis Function StrategyGuidance on what to consider when designing and publishing data dashboards.
Learn more on Data visualisation: dashboardsKnowledge to Action (K2A) is a process that has been developed by the Office for Health Improvement and Disparities (OHID). It encourages people to use a wide range of data sources and information to prompt action or change.
Learn more on Turning knowledge into actionThis publication will help analysts and users of analysis understand why reproducibility is important and how to achieve it.
Learn more on Reproducible Analytical Pipelines (RAP) strategy