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
Link To Document :
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