The latest version of .Stat Suite is “SDMX-native”. Previously, SDMX was provided as a feature to cater for reporting and dissemination needs, at the very end of the data cycle; now, data is managed and manipulated in SDMX, natively, from end-to-end. The UK Data Service Aggregate Data Unit will soon begin migration to this updated version cambodia rcs data of .Stat Suite, and data should be available via the new platform by Summer 2022. Through .Stat Suite, SDMX should bring many benefits to UK researchers and students, including making international macrodata much more accessible and easier to combine or connect in their analytical work. This blog post is about diving into those benefits.
SDMX is about data semantics. That is, knowledge about the data that allows users to easily access, store, process and exchange it – in short, to make efficient use of it.
Perhaps more importantly, it offers the language for producers of the data to engage with one another to make joint decisions, such as:
How should a particular statistical concept be defined? What are the possible (codified) values for that concept? What kind of referential metadata do we need to characterise the methodology and data quality trade-offs?