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 version is now closed from new enrolments!  An updated and enhanced version of this course is now available.
Don’t worry, any learner currently enrolled can chose to continue to finish this version, or if you wish, move over to the new version straight away. Any learner who is already certified will retain their certification and will 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.


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.