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Enterprise Architecture Oriented Requirements Engineering for Open Data Usage in Schools

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Perspectives in Business Informatics Research (BIR 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 365))

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Abstract

Open Data has been considered as a key to scientific innovations. These openly licensed data-sets can be accessed, used, rebuild, and shared by anyone and anywhere. Mostly, Open Data is discussed in relation to its production, storage, licensing and accessibility, but less often - in relation to its practical subsequent uses, e.g. as an educational resource. In general, Open Data can be used as an open educational resource to develop transversal skills among school students. This paper presents an Enterprise Architecture Oriented Requirements Engineering (EAORE) approach for Open Data usage as an educational resource in Danish public schools. The aim of this research work is to identify requirements of Danish public schools for the development of an Open Data interface. The EAORE approach represents how Enterprise Architecture (EA) models guide overall Requirements Engineering (RE) process for Open Data usage in Danish public schools.

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Notes

  1. 1.

    http://www.opendata.dk/.

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Author information

Authors and Affiliations

  1. Department of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7, 9220, Aalborg, Denmark

    Mubashrah Saddiqa & Jens Myrup Pedersen

  2. Computer Science Department, Riga Technical University, Kalku 1, Riga, 1658, Latvia

    Marite Kirikova

Authors
  1. Mubashrah Saddiqa
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  2. Marite Kirikova
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  3. Jens Myrup Pedersen
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Correspondence to Mubashrah Saddiqa .

Editor information

Editors and Affiliations

  1. University of Economics in Katowice, Katowice, Poland

    Małgorzata Pańkowska

  2. University of Rostock, Rostock, Germany

    Kurt Sandkuhl

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Saddiqa, M., Kirikova, M., Pedersen, J.M. (2019). Enterprise Architecture Oriented Requirements Engineering for Open Data Usage in Schools. In: Pańkowska, M., Sandkuhl, K. (eds) Perspectives in Business Informatics Research. BIR 2019. Lecture Notes in Business Information Processing, vol 365. Springer, Cham. https://doi.org/10.1007/978-3-030-31143-8_10

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  • DOI: https://doi.org/10.1007/978-3-030-31143-8_10

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  • Online ISBN: 978-3-030-31143-8

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