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Rapid development of a data visualization service in an emergency response

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Khan, Saiful, Nguyen, Phong Hai, Abdul-Rahman, Alfie, Freeman, Euan, Turkay, Cagatay and Chen, Min (2022) Rapid development of a data visualization service in an emergency response. IEEE Transactions on Services Computing, 15 (3). pp. 1251-1264. doi:10.1109/TSC.2022.3164146

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Official URL: https://doi.org/10.1109/TSC.2022.3164146

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Abstract

We present the design and development of a data visualization service (RAMPVIS) in response to the urgent need to support epidemiological modeling workflows during the COVID-19 pandemic. Facing a set of demanding requirements and several practical challenges, our small team of volunteers had to rely on existing knowledge and components of services computing, while thinking on our feet in configuring services composition and adopting suitable approaches to services engineering. Through developing the RAMPVIS service, we have gained useful experience of ensuring conformation to services computing standards, enabling rapid development and early deployment, and facilitating effective and efficient maintenance and operation with limited resources. This experience can be valuable to the ongoing effort for combating the COVID-19 pandemic, and provides a blueprint for visualization service development when future needs for visual analytics arise during emergency response.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Faculty of Social Sciences > Centre for Interdisciplinary Methodologies
Library of Congress Subject Headings (LCSH): Information visualization, COVID-19 Disease -- Epidemiology -- Data processing, COVID-19 Pandemic, 2020- -- Mathematical models
Journal or Publication Title: IEEE Transactions on Services Computing
Publisher: IEEE
ISSN: 1939-1374
Official Date: 1 May 2022
Dates:
DateEvent
1 May 2022Published
1 April 2022Available
30 March 2022Accepted
Volume: 15
Number: 3
Page Range: pp. 1251-1264
DOI: 10.1109/TSC.2022.3164146
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/V054236/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266

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