A Comparative Study of Methods for Deciding to Open Data

Ahmad Luthfi*, Marijn Janssen

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Governments may have their own business processes to decide to open data, which might be supported by decision-making tools. At the same time, analyzing potential benefits, costs, risks, and other effects-adverse of disclosing data are challenging. In the literature, there are various methods to analyze the potential advantages and disadvantages of opening data. Nevertheless, none of them provides discussion into the comparative studies in terms of strengths and weaknesses. In this study, we compare three methods for disclosing data, namely Bayesian-belief networks, Fuzzy multi-criteria decision-making, and Decision tree analysis. The comparative study is a mechanism for further studying the development of a knowledge domain by performing a feature-by-feature at the same level of functionalities. The result of this research shows that the methods have different strengths and weaknesses. The Bayesian-belief Networks has higher accuracy in comparison, and able to construct the causal relationships of the selected variable under uncertainties. Yet, this method is more resource intensive. This study can contribute to the decision-makers and respected researchers to a better comprehend and provide recommendation related to the three methods comparison.

Original languageEnglish
Title of host publicationBusiness Modeling and Software Design - 9th International Symposium, BMSD 2019, Proceedings
EditorsBoris Shishkov, Boris Shishkov, Boris Shishkov
Number of pages8
ISBN (Print)9783030248536
Publication statusPublished - 2019
Event9th International Symposium on Business Modeling and Software Design, BMSD 2019 - Lisbon, Portugal
Duration: 1 Jul 20193 Jul 2019

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


Conference9th International Symposium on Business Modeling and Software Design, BMSD 2019

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Bayesian-belief networks
  • Decision tree analysis
  • Decision-making
  • Fuzzy multi-criteria decision making
  • Methods
  • Open data


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