result in data outputs. It is designed to be independent of the data source, so it can be used for the description and quality assessment of processes based on surveys, censuses, administrative records, and other nonstatistical or mixed sources. While the GSBPM includes several overarching statistical processes, quality and metadata management are two of the key elements of the model. The data quality management process includes quality assessment and control mechanisms. It recognizes the importance of evaluation and feedback throughout the statistical business