E. Institutional arrangements and data quality
5.22. The effectiveness of institutional arrangements is ultimately judged by the quality of the disseminated trade statistics. Properly functioning institutional arrangements can significantly contribute to the enhancement of data quality.
5.23. As described in chapter IX of IMTS 2010, the dimensions of data quality include prerequisites of quality, relevance, credibility, accuracy, timeliness, methodological soundness, coherence and accessibility. Achieving quality improvements is a complex and time-consuming task. The development and implementation of an effective data quality assurance programme would usually require the cooperation of all involved agencies. Therefore, appropriate institutional arrangements are important in allowing and fostering such cooperation and should clearly identify the roles of each agency in such a programme.
Country Experience: Brazil: division of work on trade data quality (ch. 5)
Country Experience: Canada: Responsibilities for quality assurance (ch. 5)
Country Experience: Italy: Cooperation between the National Statistical Institute of Italy (ISTAT) and the National Customs Authority, in particular on data quality (ch. 5)