This 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 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-19This guidance advises on how to quality assure data sources.
Learn more on Tips for urgent quality assurance of dataThis guidance has been drawn up to support producers of official statistics who need to decide when to pause or continue data collections during the coronavirus (COVID-19) pandemic.
Learn more on Data collection considerations during the COVID-19 pandemicThis guidance sits alongside “Tips for urgent quality assurance of data”. This guidance focuses on the analysis, that guidance looks at the data used in the analysis.
Learn more on Tips for urgent quality assurance of ad-hoc statistical analysisThis guidance supports statistics producers in meeting the quality requirements of the United Kingdom (UK) Code of Practice for Statistics and Eurostat’s European Statistics Code of Practice.
Learn more on Quality statistics in government