A Framework for Intelligent Policy Decision Making Based on a Government Data Hub

Al-Lawati, Ali and Soares Barbosa, Luís, "A Framework for Intelligent Policy Decision Making Based on a Government Data Hub" 4th International Conference on Digital Transformation and Global Society (DTGS 2019), Saint Petersburg, 2019/06/19-21.

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Conference Publication
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UNU-EGOV Conference Publications

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  • Sub-type Conference paper
    Author Al-Lawati, Ali
    Soares Barbosa, Luís
    Title A Framework for Intelligent Policy Decision Making Based on a Government Data Hub
    Event Series International Conference on Digital Transformation and Global Society (DTGS)
    Publication Date 2020-01-03
    Place of Publication Cham
    Publisher Springer
    Pages 92-106
    Title of Event 4th International Conference on Digital Transformation and Global Society (DTGS 2019)
    Date of Event 2019/06/19-21
    Place of Event Saint Petersburg
    Language eng
    Abstract The e-Oman Integration Platform is a data hub that enables data exchanges across government in response to transactions. With millions of transactions weekly, and thereby data exchanges, we propose to investigate the potential of gathering intelligence from these linked sources to help government officials make more informed decisions. A key feature of this data is the richness and accuracy, which increases the value of the learning outcome when augmented by other big and open data sources. We consider a high-level framework within a government context, taking into account issues related to the definition of public policies, data privacy, and the potential benefits to society. A preliminary, qualitative validation of the framework in the context of e-Oman is presented. This paper lays out foundational work into an ongoing research to implement government decision-making based on big data.
    UNBIS Thesaurus DATA ANALYSIS
    POLICY-MAKING
    Keyword Government big data
    e-Oman
    Copyright Holder Springer
    Copyright Year 2019
    Copyright type All rights reserved
    ISBN 9783030378585
    DOI 10.1007/978-3-030-37858-5_8
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    Created: Fri, 31 Jan 2020, 23:50:57 JST by Mario Peixoto on behalf of UNU EGOV