Working with SDMX

  • Reinhold Stahl
  • Patricia Staab
Chapter

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.

Reference

  1. SDMX (2018) Software tools for SDMX implementers and developers. https://sdmx.org/?page_id=4500. Accessed 17 Apr 2018

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Reinhold Stahl
    • 1
  • Patricia Staab
    • 2
  1. 1.DornburgGermany
  2. 2.FrankfurtGermany

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