Overview
- Provides an introduction to organizing and integrating data
- Introduces the international statistics standard Statistical Data and Metadata Exchange (SDMX) and explains how it could be used in data integration
- Includes easy-to-understand examples to illustrate the basic concepts of the book
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Table of contents (14 chapters)
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Front Matter
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Creating Comprehensive Data Worlds Using Standardisation
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Front Matter
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The Statistics Standard SDMX
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Front Matter
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Back Matter
Keywords
About this book
This richly illustrated book provides an easy-to-read introduction to the challenges of organizing and integrating modern data worlds, explaining the contribution of public statistics and the ISO standard SDMX (Statistical Data and Metadata Exchange). As such, it is a must for data experts as well those aspiring to become one.
Today, exponentially growing data worlds are increasingly determining our professional and private lives. The rapid increase in the amount of globally available data, fueled by search engines and social networks but also by new technical possibilities such as Big Data, offers great opportunities. But whatever the undertaking – driving the block chain revolution or making smart phones even smarter – success will be determined by how well it is possible to integrate, i.e. to collect, link and evaluate, the required data. One crucial factor in this is the introduction of a cross-domain order system in combination with a standardization of the data structure.
Using everyday examples, the authors show how the concepts of statistics provide the basis for the universal and standardized presentation of any kind of information. They also introduce the international statistics standard SDMX, describing the profound changes it has made possible and the related order system for the international statistics community.
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Authors and Affiliations
About the authors
Reinhold Stahl, mathematician, has worked at the Statistics Directorate of the German Federal Bank since 1985. He was responsible for the creation of the Federal Bank’s statistical information system in its current form, before becoming Director of General Statistics in 2014. He has been actively involved in the international success story of the SDMX standard presented in this book since its beginnings and has introduced this standard into the statistics of the German Federal Bank. The opportunities opened up by the standardization have made him a passionate advocate of this approach.
Dr. Patricia Staab, mathematician, started working at the Statistics Directorate of the German Federal Bank in 2000, and immediately took part in creating the internal statistical information system based on the SDMX standard. Since then, she has been appointed Head of the German Federal Bank’s Statistical Information Management division. Both the standard and the information system based on it have developed substantially since the beginning, but the effects the standardization could deliver at that time left a lasting impression on her.
Bibliographic Information
Book Title: Measuring the Data Universe
Book Subtitle: Data Integration Using Statistical Data and Metadata Exchange
Authors: Reinhold Stahl, Patricia Staab
DOI: https://doi.org/10.1007/978-3-319-76989-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-76988-2Published: 28 May 2018
Softcover ISBN: 978-3-030-08342-7Published: 10 January 2019
eBook ISBN: 978-3-319-76989-9Published: 16 May 2018
Edition Number: 1
Number of Pages: VII, 117
Number of Illustrations: 5 b/w illustrations, 33 illustrations in colour
Topics: Applied Statistics, Data Structures, Data Mining and Knowledge Discovery, Big Data/Analytics, Big Data