Propagating Visual Designs to Numerous Plots and Dashboards

Khan, S., Nguyen, P. H., Abdul-Rahman, A., Bach, B., Chen, M., Freeman, E. and Turkay, C. (2022) Propagating Visual Designs to Numerous Plots and Dashboards. IEEE Transactions on Visualization and Computer Graphics, 28(1), pp. 86-95. (doi: 10.1109/TVCG.2021.3114828) (PMID:34587060)

Abstract

In the process of developing an infrastructure for providing visualization and visual analytics (VIS) tools to epidemiologists and modeling scientists, we encountered a technical challenge for applying a number of visual designs to numerous datasets rapidly and reliably with limited development resources. In this paper, we present a technical solution to address this challenge. Operationally, we separate the tasks of data management, visual designs, and plots and dashboard deployment in order to streamline the development workflow. Technically, we utilize: an ontology to bring datasets, visual designs, and deployable plots and dashboards under the same management framework; multi-criteria search and ranking algorithms for discovering potential datasets that match a visual design; and a purposely-design user interface for propagating each visual design to appropriate datasets (often in tens and hundreds) and quality-assuring the propagation before the deployment. This technical solution has been used in the development of the RAMPVIS infrastructure for supporting a consortium of epidemiologists and modeling scientists through visualization.

• Item Type: Articles
• Additional Information: This work was supported by EPSRC (EP/V054236/1).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Freeman, Dr Euan
• Authors: Khan, S., Nguyen, P. H., Abdul-Rahman, A., Bach, B., Chen, M., Freeman, E., and Turkay, C.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: IEEE Transactions on Visualization and Computer Graphics
• Publisher: IEEE
• ISSN: 1077-2626
• ISSN (Online): 1941-0506
• Published Online: 29 September 2021
• Copyright Holders: Copyright © 2021 IEEE
• First Published: First published in IEEE Transactions on Visualization and Computer Graphics 28(1): 86-95
• Publisher Policy: Reproduced in accordance with the publisher copyright policy