A user guide to international trade statistics and trade asymmetries
This user guide outlines the different ways that UK trade statistics are collected and measured.
Learn more on A user guide to international trade statistics and trade asymmetriesThis user guide outlines the different ways that UK trade statistics are collected and measured.
Learn more on A user guide to international trade statistics and trade asymmetriesThis question bank aims to help analysts understand administrative data quality. The questions can be used as an assessment tool when producing statistics and conducting research using administrative data.
Learn more on Introducing the Administrative Data Quality Question BankA guide covering basic principles and best practice for sharing data, analysis, and statistics between government organisations in times of national crisis and to meet urgent operational need.
Learn more on Data sharing for national crisis responseThis user guide outlines the various measures of trade, including their strengths and limitations.
Learn more on A user guide to regional tradeThis guidance is intended to help analysts evaluate how they could benefit from open sourcing their code. It will explain the risks and offer guidance about how to open source code safely.
Learn more on Open sourcing analytical codeA 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 guidance sets out how producers of official statistics should raise concerns about compliance with the Code of Practice for Statistics.
Learn more on Reporting concerns under the Code of Practice for StatisticsThis guidance has been written to support analysts in government who use coding in their work. This includes those who produce statistics, carry out modelling or apply data science.
Learn more on Quality assurance of code for analysis and researchThese tips suggest some things to consider if your statistical outputs have been affected by the pandemic.
Learn more on Tips for communicating the impact of COVID-19