Using visualization to derive insights from research funding portfolios

Andreea Molnar, Ann McKenna, Qing Liu, Mihaela Vorvoreanu, Krishna Madhavan

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish (US)
Article number7111923
Pages (from-to)91-97
Number of pages7
JournalIEEE Computer Graphics and Applications
Volume35
Issue number3
DOIs
StatePublished - May 1 2015

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Metadata
Data mining

Keywords

  • computer graphics
  • data mining
  • data visualization
  • DIA2
  • information visualization
  • NSF
  • research funding

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Using visualization to derive insights from research funding portfolios. / Molnar, Andreea; McKenna, Ann; Liu, Qing; Vorvoreanu, Mihaela; Madhavan, Krishna.

In: IEEE Computer Graphics and Applications, Vol. 35, No. 3, 7111923, 01.05.2015, p. 91-97.

Research output: Contribution to journalArticle

Molnar, Andreea ; McKenna, Ann ; Liu, Qing ; Vorvoreanu, Mihaela ; Madhavan, Krishna. / Using visualization to derive insights from research funding portfolios. In: IEEE Computer Graphics and Applications. 2015 ; Vol. 35, No. 3. pp. 91-97.
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