Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/596
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. |
URI: | https://doi.org/10.1007/978-3-319-44421-5_3 https://ruomo.lib.uom.gr/handle/7000/596 |
ISBN: | 978-3-319-44420-8 978-3-319-44421-5 |
ISSN: | 0302-9743 1611-3349 |
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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EGOV2016_preprint.pdf | 951,23 kB | Adobe PDF | View/Open |
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