Quality assurance issues in DCPS for agricultural commodities: an analysis of the theoretical and analytical tools and methods used in the assessment of data quality

摘要

Quality assurance is a central issue for national and international statistical institutions dealing with agricultural commodity data. This paper focuses on the methodology related to data collection and processing. In section two a short definition of quality is given. In section three, general quality assurance concepts are introduced. Recent approaches to quality assurance in national and international statistics are also analysed. In section three. The experiences of Statistics Denmark are described. In the last section offers some concluding remarks.