Title | ||
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Multidimensional Visual Tool for Analysis of a Complex Program in Clinical & Translational Research |
Abstract | ||
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The National Institutes of Health’s (NIH) Clinical and Translational Science Award (CTSA) program is NIH's largest single investment in clinical research, and it is one of the world’s largest programs in clinical and translational sciences [1]. To help stakeholders better understand, investigate, and utilize the CTSA program, we have developed an automatic and multidimensional visual analytical tool, which enables them to collect open source data as well as store, process, query, share, and visualize the data. The resulting tool is the software implementation of research we have performed during a twoyear SBIR Phase II project. In this paper we introduce the design and features of this software and demonstrate its functionalities through use cases. |
Year | Venue | Keywords |
---|---|---|
2016 | BIBM | CTSA,translational sciences,visual analytics,data collection,data processing,data visualization,D3 visualization |
Field | DocType | Citations |
Data science,Clinical and Translational Science Award,Data visualization,Use case,Source data,Computer science,Translational science,Software system,Software,Translational research,Bioinformatics | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chunlei Liu | 1 | 351 | 171.80 |
Lemin Xiao | 2 | 9 | 3.50 |
Roger Xu | 3 | 111 | 14.71 |
Olga Brazhnik | 4 | 21 | 3.48 |
Pan Gao | 5 | 2 | 1.74 |
Ken Samuel | 6 | 0 | 0.34 |