Contribution of the Statistics Standard SDMX

Reinhold Stahl and Patricia Staab

Chapter Chapter 9 in Measuring the Data Universe, 2018, pp 59-67 from Springer

Abstract: 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.

Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-76989-9_9

Ordering information: This item can be ordered from
http://www.springer.com/9783319769899

DOI: 10.1007/978-3-319-76989-9_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().