Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Using Visualization to Derive Insights from Research Funding Portfolios
AU - Molnar, Andreea
AU - McKenna , Ann F.
AU - Liu, Qing
AU - Vorvoreanu , Mihaela
AU - Madhavan, Krishna
PY - 2015/5
Y1 - 2015/5
N2 - 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.
AB - 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.
U2 - 10.1109/MCG.2015.68
DO - 10.1109/MCG.2015.68
M3 - Journal article
VL - 35
SP - 91
JO - IEEE Computer Graphics and Applications
JF - IEEE Computer Graphics and Applications
SN - 0272-1716
IS - 3
ER -