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.

Overview

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.

COURSE DESCRIPTION

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.

LEARNING OUTCOMES

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.

TOOLS

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.