Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
8. Statistics Driving Successful Data Integration
verfasst von : Reinhold Stahl, Patricia Staab
Erschienen in: Measuring the Data Universe
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Statistics is cross-domain by nature: as a general discipline for “building knowledge through intelligent evaluation of experience” it serves as an auxiliary science in many fields. Therefore, it is statistical day-to-day business to integrate a wide range of information sources. The international statistics community can look back on a long tradition of data exchange.
Thus, statistics began to develop general terms and concepts for this purpose at an early stage. These concepts for numeric data, metadata and registry data can easily be applied to databases of various platforms. They are implemented in the statistical standard SDMX (Statistical Data and Metadata Exchange), which since 2005 has decisively contributed to the development of internationally harmonised economic statistics as well as global data exchange and data sharing.