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    Mediating open data consumption - Identifying story patterns for linked open statistical data


    Janowski, Maciej and Ojo, Adegboyega and Curry, Edward and Porwol, Lukasz (2019) Mediating open data consumption - Identifying story patterns for linked open statistical data. In: Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery, New York, United States, pp. 156-163. ISBN 9781450366441

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    Abstract

    Statistical data account for a very large proportion of data published on open data platforms. This category of data are which are often of high quality, value and public interest; are gradually being published as 5-star linked open statistical data or data cubes (LOSD) for easy integration and cross-border comparability. However, publishing open data as linked data (i.e. graph oriented) significantly increases the technical skill requirements for end-user consumption. We address this problem by mediating the exploration and analysis of LOSD published on open data platforms through the use of data stories. After providing the requisite background information on LOSD, we identified data story patterns from extant literature and show how these patterns can be employed in analysing LOSD. Subsequently, we provide a case study to illustrate the use of these data story patterns as an end-user domain-specific language to explore and analyse LOSD. We argue that using data stories for exploring and analysing on open data platforms has the potential to significantly increase the adoption and use of (linked) open data.

    Item Type: Book Section
    Additional Information: Cite as: Maciej Janowski, Adegboyega Ojo, Edward Curry, and Lukasz Porwol. 2019. Mediating Open Data Consumption - Identifying Story Patterns for Linked Open Statistical Data. In Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance (ICEGOV2019). Association for Computing Machinery, New York, NY, USA, 156–163. DOI:https://doi.org/10.1145/3326365.3326386
    Keywords: Data storytelling patterns; Linked Open Statistical Data; Open Data Platforms; Data Cube Vocabulary;
    Academic Unit: Faculty of Social Sciences > School of Business
    Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Item ID: 14355
    Identification Number: https://doi.org/10.1145/3326365.3326386
    Depositing User: Adegboyega Ojo
    Date Deposited: 20 Apr 2021 15:06
    Journal or Publication Title: Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance
    Publisher: Association for Computing Machinery
    Refereed: Yes
    URI:

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