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Open Data Ecosystems: A Comparison of Visual Models

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Electronic Government and the Information Systems Perspective (EGOVIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11709))

Abstract

The practice of open (public) data (OD) is usually interpreted in the context of open government initiatives. Public data may be opened up for the reason of transparency in support of accountability or with the intent to allow for innovative re-use in value added services. To investigate the resulting complex setting of OD researchers often use the ecosystem metaphor. This approach is based on theories of biology and ecology and over the years the ecosystem view of OD has become the dominant model underlying discussions. The research reported in this paper has been set out with the goal of collecting and analysing the various open data visual models that had appeared in relevant literature. Results of a systematic comparison and categorization indicate that while there have been many papers published utilizing ecosystem as a model to investigate the OD phenomena, there is no common way of how to represent entities and relationships of such an ecosystem in a visual model. The final goal is to to prepare the ground for an open data ecosystem model visual notation.

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Acknowledgement

Project no. NKFIH-869-4/2019 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the 2019 Domain Excellence Fund scheme.

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Authors and Affiliations

  1. Corvinus University of Budapest, Budapest, Hungary

    Csaba Csáki

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  1. Csaba Csáki
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Correspondence to Csaba Csáki .

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Editors and Affiliations

  1. Corvinus University of Budapest, Budapest, Hungary

    Andrea Kő

  2. National Research Council, Rome, Italy

    Enrico Francesconi

  3. Johannes Kepler University of Linz, Linz, Austria

    Gabriele Anderst-Kotsis

  4. Software Competence Center Hagenberg, Hagenberg im Mühlkreis, Austria

    A Min Tjoa

  5. Johannes Kepler University of Linz, Linz, Austria

    Ismail Khalil

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Csáki, C. (2019). Open Data Ecosystems: A Comparison of Visual Models. In: Kő, A., Francesconi, E., Anderst-Kotsis, G., Tjoa, A., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2019. Lecture Notes in Computer Science(), vol 11709. Springer, Cham. https://doi.org/10.1007/978-3-030-27523-5_2

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  • DOI: https://doi.org/10.1007/978-3-030-27523-5_2

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-27523-5

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