An introduction to SDMX structural modelling for data producers

In this course, you will learn about the Statistical Data and Metadata eXchange data modelling and how to practically apply it in the .Stat Suite context.

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This is an updated and enhanced version of the course “An introduction to SDMX structural modelling for data producers” replacing the previous version of this course.
 Any learner who is already certified in the previous version of the course will retain their certification and does not need to complete this new version.



This course, An Introduction to SDMX structural modelling for data producers, is designed for Data Producers (Methodology Adviser, Statistical Assistant, Statistician, Data Reporter…) as a way to introduce the knowledge needed to design SDMX structures, including in the .Stat Suite context.


  • Understanding the meaning of SDMX meta(data) structural modelling.
  • Learn the step-by-step method for structural modelling.
  • Familiarise with the tools to apply the method in .Stat Suite.

In each module you will be asked a few questions to help you remember the contents and reinforce your understanding.


This course is compatible with the SDMX Matrix Generator v2.0 and later. Most of the course is in line with earlier versions, however there are differences in how Constraints are created.


Upon completion of this course you will receive a certificate of completion.




NOTE: You have to pass these courses before you can enroll this course.

New course available: Disseminating data with an optimised end-user experience.

Take your SDMX data modelling to the next level and learn how to support the preparation of disseminated structures and data for an optimal experience in the .Stat Suite Data Explorer for all types of audiences.

In this course you will:

  • Understand the user’s expectations.
  • Get prepared to disseminate.
  • Understand the Data Explorer ‘magic’.
  • Disseminate a dataflow step-by-step.
  • Learn about the main use cases.