What are the 6 dimensions of quality?
In terms of data quality the following dimensions are used: Relevance, Accuracy, Timeliness, Accessibility, Comparability, Coherence. See the ‘Guidelines for Measuring Statistical Quality’ for more detailed explanation. These dimensions are those agreed for use in the European Statistical System. What is Quality Measurement? Quality measurement is about providing information on each of the quality dimensions of outputs. The purpose for providing quality measures is to equip the user with sufficient information about ONS outputs so that they can assess the strengths and limitations of the data and determine for themselves their appropriate use. Quality measures can be ‘qualitative’ or ‘textual’ information, or ‘quantitative’ information. What sort of information can you use to measure data quality? Examples of quantitative quality measures are: standard error, imputation rates, non response rates, editing rate, proxy response rate, time lag between data collection and data release. Qual
