Data quality and metadata

Industrial statistics are the end product of a complex process comprising many stages starting from the collection and processing of data to compilation and dissemination of statistics. Quality measurement of industrial statistics is concerned with providing users with sufficient information to judge whether or not the data are of adequate quality for their intended use, that is to say, to judge their “fitness for use”. For example, data users must be able to verify that the conceptual framework and definitions that would satisfy their particular data needs are the same as, or sufficiently close to, those employed in collecting and processing the data. Users should also to be able to assess the degree to which the accuracy of the data is consistent with their intended use or interpretation. All the measures that a statistical office takes to assure quality of statistical information constitute quality management.

Sustainable Development Goals:

Industry, Innovation and Infrastructure