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International recommendations for industrial statistics 2008

image of International recommendations for industrial statistics 2008

The present publication is a component of the United Nations Statistics Division initiative for strengthening countries methodological and operational foundation for industrial statistics. Although this publication makes recommendations for industrial statistics, many elements of its recommendations, like those for the definition and delineation of statistical units and its guidance on a data-collection strategy and data compilation practices, are generally applicable to the development of an integrated economic statistics system for business statistics in general, with a view to collecting, compiling and reporting basic economic data across economic activities, in the most cost-efficient manner, consistent with macroeconomic statistics. This publication is designed to provide a comprehensive methodological framework for the collection and reporting of industrial statistics in all countries, irrespective of the level of development of their statistical systems.

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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.

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