Using Visualization to Derive Insights from Research Funding Portfolios

Molnar, Andreea and McKenna, Ann F. and Liu, Qing and Vorvoreanu, Mihaela and Madhavan, Krishna (2015) Using Visualization to Derive Insights from Research Funding Portfolios. IEEE Computer Graphics and Applications, 35 (3). p. 91. ISSN 0272-1716

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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 the impact as a result of the visualizations that can be realized through DIA2.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Computer Graphics and Applications
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
ID Code:
123568
Deposited By:
Deposited On:
20 Feb 2018 17:50
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 11:12