sdmx.io is not a single project but an ecosystem of open source tools, patterns, guidance, learning materials and other resources like pre-configured containerised environments that make the software quick and simple to deploy.
Model data domains using the SDMX information model
Efficiently collect data from multiple providers
Repeatable and systematic metadata-driven statistics production
Publishing statistics that are discoverable, understandable and consumable
Software tools for designing, optimising and maintaining statistical data domain models.
Community-maintained reference library of SDMX structural metadata artefacts.
Flexible data processing tools and integrations for data validation, data transformation (mapping) and converting data between transmission formats.
Patterns and resources to guide and simplify the deployment, support and maintenance of software tools from the sdmx.io ecosystem.
A collection of open source SDMX software tools cooperating to solve official statistics use cases.
The SDMX and official statistics community produces a lot of great open source software tools. sdmx.io brings these together to help solve concrete problems, with practical guidance and worked solutions to download and deploy.
sdmx.io’s library of learning resources covers a diverse range of topics including how to use software tools, SDMX theory and data modelling best practice.
The schedule of live webinars gives data officers, statisticans and anyone from the global official statistics community the opportunity to participate in discussions on key topics. Missed a webinar? Recordings and the supporting slide decks are held in the learning library. For self-paced learning, the sdmx.io e-learning modules are available at any time.
sdmx.io provides pre-configured containerised environments with everything needed for a complete working solution in one package.
The only thing needed is Docker Desktop which is free for non-commercial use. Using Docker Compose, complete environments consisting of multiple integrated components are started with a single command.
Articles and guidances from contributing statistical and tools experts provide an invaluable repository of knowledge.
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