A Survey of Open Data Platforms in Six UK Smart City Initiatives
Ghahremanlou, Lida and Tawil, Abdel-Rahman H. and Kearney, Paul and Zhao, Xia and Nevisi, Hossein and Abdallah, Ali E. (2018) A Survey of Open Data Platforms in Six UK Smart City Initiatives. The Computer Journal. ISSN Online ISSN 1460-2067 Print ISSN 0010-4620
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Abstract
This paper presents a comparative analysis of the feasibility studies submitted by six UK cities, (London, Birmingham, Manchester, Glasgow, Bristol and Milton Keynes), by exploring their Open Data resources, common visions of their smart programmes and the themes of their projects. In this research, we distinguish between stored datasets that are accessible via data hubs, and live data that are only accessible via APIs in real-time. The aim of this work is to raise awareness and access of the existing data resources, encourage alignment of data collection and curation among projects with compatible objectives in different cities, and to identify the gaps in coverage that are hampering achievement of the cities' visions. Given that our findings are purely based on stored Open Data, we conclude that the Smart City dream will be only achieved in reality, where those involved in Smart Cities related projects co-operate and share both experiences and resources in order to maximise progress towards the common goal but to minimise duplication of efforts and repetition of the same mistakes.
Item Type: | Article |
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Dates: | Date Event 4 July 2018 Accepted 17 August 2018 Published Online |
Uncontrolled Keywords: | Open Data; Smart Cities; Innovative City Tools; City Applications |
Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science CAH11 - computing > CAH11-01 - computing > CAH11-01-03 - information systems |
Divisions: | Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > College of Computing |
Depositing User: | Paul Kearney |
Date Deposited: | 05 Sep 2018 07:22 |
Last Modified: | 22 Mar 2023 12:01 |
URI: | https://www.open-access.bcu.ac.uk/id/eprint/5963 |
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