This unit identifies:
As you learned in the previous unit, FMR supports an extensive list of use cases and statistical processes. For each use case, we need to create SDMX artefacts and use different FMR features.
This introductory module provides the essential knowledge and skills to confidently capture and maintain SDMX statistical models using FMR.
What we WON’T cover in this module
The following principal FMR use cases:
The tasks required for each of the use cases above are out of scope for this introductory module but are covered in additional learning resources available on the sdmx.io website.
So, what WILL we cover in this module?
Select each principle FMR user case and SDMX aspect to find out.
Centralised metadata registry
SDMX structures authoring and maintenance
The following essential SDMX artefacts:
The following SDMX concepts:
To complete this module, you’ll first need to install a working version of FMR.
Once installed and ready to use, you MUST login to FMR in order to:
SDMX organisation schemes are used by SDMX systems to control access to data reporting, maintain structural metadata, and data query. There are four types:
For data governance purposes, structural metadata (SDMX artefacts and concepts) must have an agency assigned in order to attribute ownership of items.
The first step prior to capturing the SDMX Logical Model items in FMR, is to create an organisation scheme entry for a new agency – your organisation.
BEFORE you do this, however, follow the links below and read the articles on how to use FMR to create and maintain structures and to familiarise yourself with the UI and steps:
To help you through the process, take a moment to review these pro tips for creating a new agency.
Select each pro tip for the details.
ID standard practice
The ID can be uppercase or lowercase or a mix of both, all are compliant with the SDMX standard. Nevertheless, there are many SDMX and non-SDMX tools, as well as programming languages involved in data production processes which
may not be case sensitive. In other words, some tools interpret BIS, bis, bIS, etc. as being equivalent, while other tools treat those spellings as being different.
To avoid potential problems that this would introduce into statistical production processes, it is:
Using multiple languages
You can create metadata in multiple languages (e.g. FR, SP, AR, …). The ID is unique, and it is common for all languages. The Name and Description need to be specified for each language.
Setting your default agency
Once you’ve created the agency for your organisation:
Changing this default setting will help reduce manual errors when creating new SDMX artefacts and concepts.
Once you have familiarised yourself with how to create and maintain structures using FMR, it’s time to create your first structure, your agency.
BEFORE you do this, however, review these resources explaining how to create and edit an organisation scheme in FMR to help you along the way:
As a minimum, you’ll need to identify the following items:
Now that you’ve completed our look at Creating the SDMX Prerequisites in FMR review, try this.
Which of the following statements about what you have just learned are TRUE?
Select all that apply and then select Submit.
For data governance purposes, structural metadata (SDMX artefacts and concepts) must have an agency assigned in order to attribute ownership of items.
Standard practice for IDs for all SDMX artefacts to ALWAYS be UPPERCASE.
The correct answers are options 1 and 4.
For data governance purposes, structural metadata (SDMX artefacts and concepts) must have an agency assigned in order to attribute ownership of items.
Standard practice for IDs for all SDMX artefacts to ALWAYS be UPPERCASE.
The correct answers are options 1 and 4.
For data governance purposes, structural metadata (SDMX artefacts and concepts) must have an agency assigned in order to attribute ownership of items.
Standard practice for IDs for all SDMX artefacts to ALWAYS be UPPERCASE.
Now that you’ve completed the SDMX prerequisites in FMR, it’s time to focus on the remaining tasks needed to create our SDMX structural model in FMR.