This Essential SDMX Structural Modelling module is a standalone course in that the knowledge and skills can be taken and applied in many practical use cases. Nevertheless, it is designed to be the second module of a three-part eLearning journey.

Managing structural metadata, maximizing coherence and consistency, both within an individual organisation as well as throughout the entire data lifecycle, including with external data partners, is an important aspect of assuring quality in the statistical system. Employing data governance processes is an important aspect of this work. Managing and sharing the structural metadata in a robust tool, such as the Fusion Metadata Registry (FMR), is another important aspect of this work.

The third and final module in the series is:

  • Essential SDMX and the Fusion Metadata Registry (FMR) which will provide an overview of the best free open-source metadata management tool and how to use it to manage the essential SDMX concepts.

This module has provided a robust methodological foundation for describing the structure of statistical data. The remaining module in the series will take this expertise and empower you to actively participate in, or lead, innovation projects to digitalise statistical processes using the SDMX standard and available suite of open-source tools.


The following references provide more details on some of the topics covered in this course:

  1. SDMX 2.1 User Guide
  2. SDMX Content-Oriented Guidelines (COG)
  3. Guidelines for the Creation and Management of SDMX Code Lists
  4. Guidelines for SDMX Data Structure Definitions
  5. Handbook for Statisticians on How to Use SDMX

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