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Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland
Stasiewicz, Arkadiusz; Rezk, Mohamed Adel; Ojo, Adegboyega; Tambouris, Efthimios; Kalampokis, Evangelos; Tarabanis, Konstantinos; Alcorn, Trevor; Leadbetter, Adam
Producing new generation of digital public services from open data is of major interest to policymakers, practitioners and academia in the digital government community. Recent efforts in the area of Linked Statistical Data suggest that the associated multidimensional data cubes are excellent resources that could underpin data-driven digital public services. We describe in this paper a set of tools and approach to exploiting linked statistical data produced from the integration of streams of open marine datasets for developing digital services to support Marine Rescue Operations. We also highlight the opportunities enabled through co-creation activities as well as the benefit and challenges for scaling and sustaining the initiative.
Keyword(s): Linked Statistical Data; Linked Open Data; Digital Public Service Open Data; Co-creation; E-Government; OpenGovIntelligence
Publication Date:
2018
Type: Book chapter
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Stasiewicz, Arkadiusz and Rezk, Mohamed Adel and Ojo, Adegboyega and Tambouris, Efthimios and Kalampokis, Evangelos and Tarabanis, Konstantinos and Alcorn, Trevor and Leadbetter, Adam (2018) Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland. In: ICEGOV '18: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery (ACM), pp. 412-418. ISBN 9781450354219
Publisher(s): Association for Computing Machinery (ACM)
File Format(s): other
Related Link(s): http://mural.maynoothuniversity.ie/13370/1/AO_school%20of%20business_using%20linked.pdf
First Indexed: 2020-10-03 06:05:15 Last Updated: 2020-10-03 06:05:15