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Toward a Reference Architecture for User-Oriented Open Government Data Portals

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Business Modeling and Software Design (BMSD 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 453))

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Abstract

Governments have established Open Government Data Portals (OGDP) to open various types of datasets that can be used to increase transparency, accountability, and innovation. OGDP is becoming a strategic program for citizen engagement and empowering users. Nevertheless, many OGDP architectures focus merely on publishing data and do not support the actual data use. Therefore, this paper aims to develop a reference architecture (RA) that takes a broader set of requirements aimed at enabling the use of open data into account. The RA consists of recommended structures and integrations of the end-to-end user interactions and services. In this research, we use the DKAN open data management platform as the basis to design a full suite of cataloguing and visualising the end-to-end user interactions. Five layers are proposed providing functionalities for using data. Whereas most portals are focused on releasing data, our RA is focused on empowering users by providing functionalities for the use of data.

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Authors and Affiliations

  1. Department of Informatics, Universitas Islam Indonesia, Jalan Kaliurang KM. 14,5 Sleman, Yogyakarta, 55584, Indonesia

    Ahmad Luthfi

  2. Delft University of Technology, Delft, The Netherlands

    Marijn Janssen

Authors
  1. Ahmad Luthfi
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  2. Marijn Janssen
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Corresponding author

Correspondence to Ahmad Luthfi .

Editor information

Editors and Affiliations

  1. Faculty of Information Sciences, University of Library Studies and Information Technologies, Sofia, Bulgaria

    Boris Shishkov

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Luthfi, A., Janssen, M. (2022). Toward a Reference Architecture for User-Oriented Open Government Data Portals. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2022. Lecture Notes in Business Information Processing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-11510-3_17

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  • DOI: https://doi.org/10.1007/978-3-031-11510-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-11509-7

  • Online ISBN: 978-3-031-11510-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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