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Contribution of the Statistics Standard SDMX

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Measuring the Data Universe
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Abstract

SDMX (Statistical Data and Metadata Exchange) is a standard used successfully by the international statistics community. In data exchange, SDMX has replaced numerous individual agreements and enabled the development of so-called data-driven systems.

But the real potential of SDMX lies in its use as a classification system for any—and not only—financial and economic data. Many institutions use SDMX for data collection, data provision and Internet publishing. A real-life example of a mature SDMX solution is the IMF’s (International Monetary Fund’s) “Special Data Dissemination Standard Plus” initiative.

At its core, SDMX is amazingly simple: a data set is modelled by identifying and encoding its defining dimensions, i.e. the axes of its coordinate system. Each individual data point from this data set is then uniquely determined by its coordinates: the SDMX key. By sharing specific dimensions between different topic areas, an SDMX landscape of linked topic areas emerges.

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Notes

  1. 1.

    https://www.destatis.de/EN/FactsFigures/Indicators/ShortTermIndicators/IMF/NSDP.html

  2. 2.

    The BPM (Balance of Payments Manual) provides international guidelines for national external statistics.

  3. 3.

    “The PGI website was launched in 2009 in response to the global financial crisis, and is hosted by the IMF. It is a joint undertaking of the IAG, which was established in 2008 to coordinate statistical issues and data gaps highlighted by the global crisis and to strengthen data collection” (IMF 2014b).

  4. 4.

    The IAG is made up of the BIS, the European Central Bank (ECB), Eurostat, the IMF (Chair), the OECD, the United Nations (UN) and the World Bank. “It was established in 2008 to coordinate statistical issues and data gaps highlighted by the global crisis and to strengthen data collection” (Eurostat 2016).

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Stahl, R., Staab, P. (2018). Contribution of the Statistics Standard SDMX. In: Measuring the Data Universe. Springer, Cham. https://doi.org/10.1007/978-3-319-76989-9_9

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