Use case
Data Domain modeling
Structural models are at the center of a modern statistical system. They enable agility, support data quality improvement efforts, and help shift resource allocations from operations to innovations.
Structural modelling of data using the SDMX Information model
Structural models are at the center of a modern statistical system. They enable agility, support data quality improvement efforts, and help shift resource allocations from operations to innovations.
Specifically, resources to help:
- Establish a shared understanding of statistical concepts and terms for structural modelling of macro statistics.
- Understand the 3 types of data models, their purpose, and their relevance to statisticians and IT experts.
- Learn how to create structural statistical models.
- Learn good practices in SDMX data domain modelling.
- Develop skills in SDMX structural modelling of statistical data.
- Develop skills in creating and managing structural models with open-source tools and fully leveraging their benefits is statistical business processes.
Articles
How to use an external database with the FMR Docker image
Learn how to setup an external database for FMR's operational storage in preference to MySQL.
Simplifying Data Collection thru Dissemination using open source tools and SDMX
From data collection through dissemination using open source tools and a data model.
Dimensions vs Attributes and Time Series Breaks
Definition of Dimensions and Attributes plus how to implement a Time Series Break.
Essential SDMX Structural Modelling
Transform and map statistical logical models to the SDMX standard.
Introduction to Structural Modelling for Statisticians
Learn structural modelling using statistical concepts and terms.
