Working with SDMX

Reinhold Stahl and Patricia Staab

Chapter Chapter 13 in Measuring the Data Universe, 2018, pp 103-105 from Springer

Abstract: Abstract Although SDMX (Statistical Data and Metadata Exchange) has spread significantly throughout the world of official statistics, most of the software products based on it have been self-developed by statistical institutions, and are therefore proprietary. However, there is a fair amount of open-source software provided by the SDMX community free of charge, which can be very helpful to those approaching the subject. These tools have a very different degree of maturity and often offer overlapping functionalities. But with the help of this software collection, the following requirements can be met: create new and manage existing data structures; file and manage SDMX datasets; edit SDMX files; work with the data in SDMX datasets; and store information about SDMX datasets centrally. On top of that, programming libraries can also be found to use for in-house development.

Keywords: Statistical Data And Metadata Exchange (SDMX); Collection Software; Programming Libraries; Fair Amount; Open Source Components (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-76989-9_13

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DOI: 10.1007/978-3-319-76989-9_13

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