Modernising Official Statistics: A Complex Challenge

Götzfried, August

doi:10.1007/978-3-662-44983-7_1

August Götzfried²¹

Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization ((STUDIES CLASS))

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Abstract

In Europe, national statistical organisations and Eurostat, the statistical office of the European Union, produce and disseminate official statistics. These organisations come together as partners in the European Statistical System (ESS). This paper describes the ESS, the challenges it faces and the modernisation efforts that have been undertaken based on a redesigned ESS enterprise architecture. It also outlines the probable future direction of the ESS.

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Notes

1.
http://ec.europa.eu/eurostat/.
2.
http://epp.eurostat.ec.europa.eu/portal/page/portal/pgp_ess/about_ess.
3.
Enterprise architecture is the organising logic for business processes and IT infrastructure reflecting the integration and standardisation requirements of the operating model of enterprises or institutions. The operating model is the desired state of business process integration and business process standardisation for delivering goods and services to customers.
4.
These programmes were shaped by the High-Level Group for the Modernisation of Statistical Production and Services working under the UNECE (United Nations Economic Commission for Europe) and by the European Statistical System. In 2009 the ESS also defined its “Vision for the next decade”.
5.
http://sdmx.org.
6.
http://www1.unece.org/stat/platform/display/metis/Generic+Statistical+Information+Model.
7.
http://www1.unece.org/stat/platform/display/metis/The+Generic+Statistical+Business+Process+Model.
8.
Many international organisations currently work on the eventual use of “big data” sources (such as scanner data in supermarkets) for official statistics.

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Authors and Affiliations

Head of Unit at Eurostat, European Commission, 2920, Luxembourg, Eurostat
August Götzfried

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August Götzfried
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Correspondence to August Götzfried .

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Editors and Affiliations

University of Essex, Colchester, United Kingdom
Berthold Lausen
University of Luxembourg, Walferdange, Luxembourg
Sabine Krolak-Schwerdt
University of Luxembourg, Walferdange, Luxembourg
Matthias Böhmer

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Götzfried, A. (2015). Modernising Official Statistics: A Complex Challenge. In: Lausen, B., Krolak-Schwerdt, S., Böhmer, M. (eds) Data Science, Learning by Latent Structures, and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44983-7_1

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DOI: https://doi.org/10.1007/978-3-662-44983-7_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44982-0
Online ISBN: 978-3-662-44983-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

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