RAIV: Researchable Archives for Interactive Visualizations

Hunter Price, John Duggan, Robert Sisneros, Tanner Hobson, James Hammer, James Osborne, Jian Huang

Research output: Contribution to journalConference articlepeer-review


Web visualization dashboards are popular. We propose a system called RAIV that can capture and archive web visualizations into self-contained objects. RAIV also uses a client-server architecture to host and manage archived objects as online galleries, which users can use a standard web browser to experience without needing to install any additional software. RAIV supports intelligent search as well. When a search target has been found, RAIV can show the interaction path required to reach that target. We demonstrate RAIV's capability using a genomics web visualization system called KnowEnG from NCSA and publicly available census data visualizations from US Census.

Original languageEnglish (US)
Article number362
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Issue number1
StatePublished - 2024
EventIS and T International Symposium on Electronic Imaging 2024: Visualization and Data Analysis, VDA 2024 - San Francisco, United States
Duration: Jan 21 2024Jan 25 2024

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics


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