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A Causal Explanatory Model of Bayesian-belief Networks for Analysing the Risks of Opening Data

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Business Modeling and Software Design (BMSD 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 319))

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Abstract

Open government data initiatives result in the expectation of having open data available. Nevertheless, some potential risks like sensitivity, privacy, ownership, misinterpretation, and misuse of the data result in the reluctance of governments to open their data. At this moment, there is no comprehensive overview nor a model to understand the mechanisms resulting in risk when opening data. This study is aimed at developing a Bayesian-belief Networks (BbN) model to analyse the causal mechanism resulting in risks when opening data. An explanatory approach based on the four main steps is followed to develop a BbN. The model presents a better understanding of the causal relationship between data and risks and can help governments and other stakeholders in their decision to open data. We use the literature review base to quantify the probability of risk variables to give an illustration in the interrogating process. For the further study, we recommend using expert’s judgment for quantifying the probability of the risk variables in opening data.

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Authors and Affiliations

  1. Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands

    Ahmad Luthfi & Marijn Janssen

  2. Universitas Islam Indonesia, Yogyakarta, Indonesia

    Ahmad Luthfi

  3. Katholieke Universiteit Leuven, Leuven, Belgium

    Joep Crompvoets

Authors
  1. Ahmad Luthfi
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  2. Marijn Janssen
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  3. Joep Crompvoets
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Corresponding author

Correspondence to Ahmad Luthfi .

Editor information

Editors and Affiliations

  1. Bulgarian Academy of Sciences, Institute of Mathematics and Informatics (IMI)/Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST), Sofia, Bulgaria

    Boris Shishkov

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Luthfi, A., Janssen, M., Crompvoets, J. (2018). A Causal Explanatory Model of Bayesian-belief Networks for Analysing the Risks of Opening Data. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2018. Lecture Notes in Business Information Processing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-94214-8_20

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  • DOI: https://doi.org/10.1007/978-3-319-94214-8_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94213-1

  • Online ISBN: 978-3-319-94214-8

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