SDMX as a Key Success Factor for Data Integration

  • Reinhold Stahl
  • Patricia Staab


Data integration was already a major challenge for official statistics by the 1990s. The task at that time consisted of professionally harmonising the different national business phenomena and transferring the harmonised data sets via a file-based data exchange process into a uniform database. This was achieved with SDMX (Statistical Data and Metadata Exchange), but SDMX is much more. It is a non-technical model to classify any data world and thus come to a uniform view and approach to its data. Using SDMX, it was possible to build very extensive data collections on a variety of topics.

It is, therefore, not worth waiting for a better standard. Since standards draw their strength from their dissemination and less from their genius, this would be futile. It is important to recognise the power in a potential standard, and then expand it and, above all, promote its dissemination.


  1. Piché R (2013) The benefits of SDMX for SDDS Plus. Accessed 20 Feb 2017

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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