Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs

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Abstract

Open government data initiatives are part of the endeavor process of governments to show that they are accountable and transparent organizations. Opening more datasets to external data analytics providers or other government organizations holds the potential to help governments to improve their processes by promoting a better understanding and enhancing the decision-making. Nevertheless, the decision-making to disclose datasets is challenging. Decision-makers often refuse to open their datasets due to several potential risks. In situations like the Dutch Customs, a dataset can contain competitive sensitive data, and multiple parties have to agree to open it. Given this complex situation, in this paper, we test a Bayesian-belief Network method for supporting the decision to open data. Our work contributes to Customs in their efforts to disclose more datasets and helping decision-makers in the process of evaluating data and defining strategies of how to move from closed to open decisions.
Original languageEnglish
Title of host publicationProceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020
EditorsShefali Virkar, Marijn Janssen, Ida Lindgren, Ulf Melin, Francesco Mureddu, Peter Parycek, Efthimios Tambouris, Gerhard Schwabe, Hans Jochen Scholl
Pages51-58
Number of pages8
Volume2797
Publication statusPublished - 2020
Event19th IFIP WG 8.5 International Conference, EGOV 2020: EGOV-CeDEM-ePart 2020 - online - Linköping University, Linköping, Sweden
Duration: 31 Aug 20202 Sep 2020
https://dgsociety.org/egov-2020/
http://dgsociety.org/egov-2020/

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
ISSN (Print)1613-0073

Conference

Conference19th IFIP WG 8.5 International Conference, EGOV 2020
Abbreviated titleEGOV2020
CountrySweden
CityLinköping
Period31/08/202/09/20
Internet address

Keywords

  • Bayesian-belief Networks
  • Customs
  • Decision-making
  • Open Data
  • Risks

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