Statisticians and IT professionals working in a statistical domain without SDMX knowledge.
To enable participants to understand the scope, architecture, and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata, so that they can:
Assess how to take advantage of SDMX in their day-to-day work;
Understand what a DSD and MSD are and how they reflect requirements for data and metadata exchange;
Work together (statisticians and IT specialists) in the organization in planning for SDMX in their domain;
Understand the relationship between SDMX and the process of the production of statistics;
Understand the different roles of the organizations in the collection and production of statistics and the relationship with SDMX;
Understand (in broad terms) the different tools that Eurostat can provide, and the architecture that can be developed.
Understand that SDMX enables automated validation services.
The training session is aimed at people who are or will be in charge of managing SDMX-based transmission and dissemination of data and metadata, possibly using existing tools. For this reason, the course is also recommended as an introduction to SDMX for people who intend to follow the advanced course "SDMX for IT developers" at a later stage.
It is important to understand that the course will start with the theory of SDMX and then move to practical exercises. The broad contents are:
The origin and purpose of SDMX: what problems is it trying to solve? What opportunities is it trying to take advantage of? The historical background and context of SDMX. The importance of standardisation;
An overview of SDMX: an overview of the SDMX components (the SDMX Information Model, the Content-Oriented Guidelines and theIT architecture for the data and metadata exchange);
An overview of the SDMX implementation process: who is involved in what stages, facing what kinds of challenges? The SDMX maintenance process (maintenance agreements);
Details on main SDMX objects: concept and concept scheme, code lists, data structure definition, data sets, metadata structure definitions (using the European Statistics Metadata Structure or the ESS standard for quality reports);
An overview of the SDMX architecture and IT tools: the SDMX registries (European and global), the SDMX converter, the SDMX reference infrastructure and the SDMX Census Hub, with understanding of the different versions of the standard;
Practical use cases of SDMX: perhaps one domain for which SDMX implementation is well established (in previous years this has been National Accounts) and another for a domain that is undergoing SDMX implementation;
An overview of the validation services that can be used with SDMX and the benefits that can accrue.
SDMX: next steps and current developments. An overview of the strategic lines of development for SDMX from the sponsors as a whole (Roadmap 2020) and within Eurostat.
Once a year
How To Apply
To apply for this course, please follow the application procedure described at the following link: