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

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Abstract

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.

Item Type:	Book Section
Keywords:	Linked Statistical Data; Linked Open Data; Digital Public Service Open Data; Co-creation; E-Government; OpenGovIntelligence;
Academic Unit:	Faculty of Social Sciences > School of Business
Item ID:	13370
Identification Number:	https://doi.org/10.1145/3209415.3209511
Depositing User:	Adegboyega Ojo
Date Deposited:	02 Oct 2020 15:05
Publisher:	Association for Computing Machinery (ACM)
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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