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

A. Luthfi; B.D. Rukanova; Marcel Molenhuis; M.F.W.H.A. Janssen; Y. Tan

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

A. Luthfi, B.D. Rukanova, Marcel Molenhuis, M.F.W.H.A. Janssen, Y. Tan

Information and Communication Technology

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

50 Downloads (Pure)

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 language	English
Title of host publication	Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020
Editors	Shefali Virkar, Marijn Janssen, Ida Lindgren, Ulf Melin, Francesco Mureddu, Peter Parycek, Efthimios Tambouris, Gerhard Schwabe, Hans Jochen Scholl
Pages	51-58
Number of pages	8
Volume	2797
Publication status	Published - 2020
Event	19th IFIP WG 8.5 International Conference, EGOV 2020: EGOV-CeDEM-ePart 2020 - online - Linköping University, Linköping, Sweden Duration: 31 Aug 2020 → 2 Sept 2020 https://dgsociety.org/egov-2020/ http://dgsociety.org/egov-2020/

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS
ISSN (Print)	1613-0073

Conference

Conference	19th IFIP WG 8.5 International Conference, EGOV 2020
Abbreviated title	EGOV2020
Country/Territory	Sweden
City	Linköping
Period	31/08/20 → 2/09/20
Internet address	https://dgsociety.org/egov-2020/ http://dgsociety.org/egov-2020/

Keywords

Bayesian-belief Networks
Customs
Decision-making
Open Data
Risks

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Camera Ready - EGOV 2020_RGFinal published version, 695 KBLicence: CC BY

Cite this

Luthfi, A., Rukanova, B. D., Molenhuis, M., Janssen, M. F. W. H. A., & Tan, Y. (2020). Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs. In S. Virkar, M. Janssen, I. Lindgren, U. Melin, F. Mureddu, P. Parycek, E. Tambouris, G. Schwabe, & H. J. Scholl (Eds.), Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020 (Vol. 2797, pp. 51-58). (CEUR Workshop Proceedings).

Luthfi, A. ; Rukanova, B.D. ; Molenhuis, Marcel et al. / Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs. Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020. editor / Shefali Virkar ; Marijn Janssen ; Ida Lindgren ; Ulf Melin ; Francesco Mureddu ; Peter Parycek ; Efthimios Tambouris ; Gerhard Schwabe ; Hans Jochen Scholl. Vol. 2797 2020. pp. 51-58 (CEUR Workshop Proceedings).

@inproceedings{e981615db44945afb34305515ce643ea,

title = "Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs",

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.",

keywords = "Bayesian-belief Networks, Customs, Decision-making, Open Data, Risks",

author = "A. Luthfi and B.D. Rukanova and Marcel Molenhuis and M.F.W.H.A. Janssen and Y. Tan",

year = "2020",

language = "English",

volume = "2797",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

pages = "51--58",

editor = "Shefali Virkar and { Janssen}, Marijn and Ida Lindgren and Ulf Melin and Francesco Mureddu and Peter Parycek and Efthimios Tambouris and Gerhard Schwabe and Scholl, {Hans Jochen}",

booktitle = "Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020",

note = "19th IFIP WG 8.5 International Conference, EGOV 2020 : EGOV-CeDEM-ePart 2020, EGOV2020 ; Conference date: 31-08-2020 Through 02-09-2020",

url = "https://dgsociety.org/egov-2020/, http://dgsociety.org/egov-2020/",

}

Luthfi, A, Rukanova, BD, Molenhuis, M, Janssen, MFWHA & Tan, Y 2020, Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs. in S Virkar, M Janssen, I Lindgren, U Melin, F Mureddu, P Parycek, E Tambouris, G Schwabe & HJ Scholl (eds), Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020. vol. 2797, CEUR Workshop Proceedings, pp. 51-58, 19th IFIP WG 8.5 International Conference, EGOV 2020, Linköping, Sweden, 31/08/20.

Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs. / Luthfi, A.; Rukanova, B.D.; Molenhuis, Marcel et al.
Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020. ed. / Shefali Virkar; Marijn Janssen; Ida Lindgren; Ulf Melin; Francesco Mureddu; Peter Parycek; Efthimios Tambouris; Gerhard Schwabe; Hans Jochen Scholl. Vol. 2797 2020. p. 51-58 (CEUR Workshop Proceedings).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs

AU - Luthfi, A.

AU - Rukanova, B.D.

AU - Molenhuis, Marcel

AU - Janssen, M.F.W.H.A.

AU - Tan, Y.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Bayesian-belief Networks

KW - Customs

KW - Decision-making

KW - Open Data

KW - Risks

UR - http://dgsoc.org/egov-2020/

M3 - Conference contribution

VL - 2797

T3 - CEUR Workshop Proceedings

SP - 51

EP - 58

BT - Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020

A2 - Virkar, Shefali

A2 - Janssen, Marijn

A2 - Lindgren, Ida

A2 - Melin, Ulf

A2 - Mureddu, Francesco

A2 - Parycek, Peter

A2 - Tambouris, Efthimios

A2 - Schwabe, Gerhard

A2 - Scholl, Hans Jochen

T2 - 19th IFIP WG 8.5 International Conference, EGOV 2020

Y2 - 31 August 2020 through 2 September 2020

ER -

Luthfi A, Rukanova BD, Molenhuis M, Janssen MFWHA , Tan Y. Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs. In Virkar S, Janssen M, Lindgren I, Melin U, Mureddu F, Parycek P, Tambouris E, Schwabe G, Scholl HJ, editors, Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020. Vol. 2797. 2020. p. 51-58. (CEUR Workshop Proceedings).

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

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