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Title: Open Statistics: The Rise of a New Era for Open Data?
Authors: Kalampokis, Evangelos
Tambouris, Efthimios
Karamanou, Areti
Tarabanis, Konstantinos
Editors: Scholl, Hans Jochen
Glassey, Olivier
Janssen, Marijn
Klienink, Bram
Lindgren, Ida
Parycek, Peter
Tambouris, Efthimios
Wimmer, Maria A.
Janowski, Tomasz
Soares, Delfina
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: Open data
Statistical data
Open statistics
Linked data
data analytics
Issue Date: 2016
Volume: 9820
First Page: 31
Last Page: 43
Volume Title: Electronic Government
Part of Series: Lecture Notes in Computer Science
Part of Series: Lecture Notes in Computer Science
Abstract: A large part of open data concerns statistics, such as demographic, economic and social data (henceforth referred to as Open Statistical Data, OSD). In this paper we start by introducing open data fragmentation as a major obstacle for OSD reuse. We proceed by outlining data cube as a logical model for structuring OSD. We then introduce Open Statistics as a new area aiming to systematically study OSD. Open Statistics reuse and extends methods from diverse fields like Open Data, Statistics, Data Warehouses and the Semantic Web. In this paper, we focus on benefits and challenges of Open Statistics. The results suggest that Open Statistics provide benefits not present in any of these fields alone. We conclude that in certain cases OSD can realise the potential of open data.
ISBN: 978-3-319-44420-8
ISSN: 0302-9743
Other Identifiers: 10.1007/978-3-319-44421-5_3
Appears in Collections:Department of Applied Informatics
Department of Business Administration

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