In statistics production there is an interaction between several types of competences. The primary competences being subject matter, statistical methodology, and information technology.
This module is targeted at statisticians working in:
This module aims to provide you with the knowledge and skills to transform and map statistical logical models to the SDMX standard. This knowledge will enable you to ultimately support and lead the implementation and maintenance of digitalisation and innovation projects using the SDMX standard.
The module begins with a review of the essential SDMX concepts for describing data, followed by exercises to map the statistical concepts and data models defined in the Introduction to Structural Modelling for Statisticians module to the SDMX standard, ultimately resulting in the creation of SDMX Logical Models.
The module will focus exclusively on macro statistics. Throughout the course, the term data will be used as a synonym for statistics and macrodata.
At the end of this module, you’ll have the knowledge and skills to transform and map statistical logical models to the SDMX standard.
You should already have the following: