• DocumentCode
    742789
  • Title

    Using Visualization to Derive Insights from Research Funding Portfolios

  • Author

    Molnar, Andreea ; McKenna, Ann F. ; Qing Liu ; Vorvoreanu, Mihaela ; Madhavan, Krishna

  • Author_Institution
    Portsmouth Univ., Portsmouth, UK
  • Volume
    35
  • Issue
    3
  • fYear
    2015
  • Firstpage
    91
  • Abstract
    Characterizing the existing funding portfolio of a federal agency is difficult due to the number, complexity, and diversity of funded projects and associated metadata. Determining the impact of a funded project can be even more challenging, especially in terms of qualifying the return on investment of the research activity. Deep Insights Anywhere, Anytime (DIA2) is an interactive data-mining and Web-based visualization platform that makes it easy to access and understand funding portfolios. The authors performed an assessment of DIA2´s usability and asked users at the US National Science Foundation how DIA2 can provide meaningful representations that contribute to determining the impact of a research portfolio. Their results show that DIA2 has good usability, and the study participants identified several indicators of impact as a result of the visualizations that can be realized through DIA2.
  • Keywords
    data mining; data visualisation; financial data processing; interactive systems; investment; DIA2; Web-based visualization; deep insights anywhere anytime; federal agency; funded project; funding portfolio; interactive data mining; return on investment; Collaboration; Data mining; Data visualization; Government funding; National Science Foundation; Research and development; DIA2; NSF; computer graphics; data mining; data visualization; information visualization; research funding;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2015.68
  • Filename
    7111923