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Assessing the Open Data Maturity of Government Agencies Having Different Years of Implementation Experience: A Study in Taiwan

Published:16 June 2020Publication History

ABSTRACT

In this global open data movement, government agencies of Taiwan have dedicated efforts and resources to implement open data policy and have accumulated years of experience in opening their datasets to the public. Accordingly, this study attempts to explore the open data maturity of the government agencies and to investigate whether the agencies possess different levels of commitments and capabilities in their open data implementations. Empirical data were collected by surveys, and the survey items were developed based on an open data maturity model adopted from the literature. There were three major perspectives utilized to explore the phenomenon of interest, including the establishment and legal perspective, the technological perspective, and the citizen and data reuse perspective. The discussions of the research results are expected to provide insights to practitioners and to enrich the current open data literature.

References

  1. Zuiderwijk, A. and M. Janssen, Open data policies, their implementation and impact: A framework for comparison. Government Information Quarterly, 2014. 31(1): p. 17-29.Google ScholarGoogle Scholar
  2. Janssen, M., Y. Charalabidis, and A. Zuiderwijk, Benefits, adoption barriers and myths of open data and open government. Information Systems Management, 2012. 29(4): p. 258-268.Google ScholarGoogle Scholar
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  4. Solar, M., G. Concha, and L. Meijueiro, A model to assess open government data in public agencies, in Electronic Government, H. Scholl, , Editors. 2012, Springer Berlin Heidelberg. p. 210-221.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Other conferences
    dg.o '20: The 21st Annual International Conference on Digital Government Research
    June 2020
    389 pages
    ISBN:9781450387910
    DOI:10.1145/3396956

    Copyright © 2020 Owner/Author

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 16 June 2020

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