Propagating visual designs to numerous plots and dashboards
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 reso...
| Main Authors: | , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
IEEE
2021
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| _version_ | 1797106484504428544 |
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| author | Khan, S Nguyen, PH Abdul-Rahman, A Bach, B Chen, M Freeman, E Turkay, C |
| author_facet | Khan, S Nguyen, PH Abdul-Rahman, A Bach, B Chen, M Freeman, E Turkay, C |
| author_sort | Khan, S |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T07:03:09Z |
| format | Journal article |
| id | oxford-uuid:619482a8-7099-4ed8-a4c2-1a99c5a95183 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:03:09Z |
| publishDate | 2021 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oxford-uuid:619482a8-7099-4ed8-a4c2-1a99c5a951832022-04-07T14:49:31ZPropagating visual designs to numerous plots and dashboardsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:619482a8-7099-4ed8-a4c2-1a99c5a95183EnglishSymplectic ElementsIEEE2021Khan, SNguyen, PHAbdul-Rahman, ABach, BChen, MFreeman, ETurkay, CIn 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. |
| spellingShingle | Khan, S Nguyen, PH Abdul-Rahman, A Bach, B Chen, M Freeman, E Turkay, C Propagating visual designs to numerous plots and dashboards |
| title | Propagating visual designs to numerous plots and dashboards |
| title_full | Propagating visual designs to numerous plots and dashboards |
| title_fullStr | Propagating visual designs to numerous plots and dashboards |
| title_full_unstemmed | Propagating visual designs to numerous plots and dashboards |
| title_short | Propagating visual designs to numerous plots and dashboards |
| title_sort | propagating visual designs to numerous plots and dashboards |
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