Statistics production benefits greatly from the introduction of metadata-driven processes and tools. This benefit increases even further if validation, transformation, and aggregation processes are metadata driven.
For statisticians, data collectors, data reporters and data publishers.
While Statistics Dissemination is essential to ensuring relevance of statistical outputs, it is statistics production where the complex and highly specialised tasks of validating and aggregating data takes place along with the production and analysis of high quality statistics.
Statistics production benefits greatly from the introduction of metadata-driven processes and tools. This benefit increases even further if validation, transformation, and aggregation processes are metadata driven.
Here you will find information about flexible data processing tools and integrations for data validation, data transformation (mapping), converting data between transmission formats, and more, in support of the statistics production process.
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From data collection through dissemination using open source tools and a data model.