the research lifecycle: partnering for success march 15, 2013 salt lake city, utah
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The Research Lifecycle: Partnering for Success March 15, 2013 Salt Lake City, Utah Michael Conlon, PhD Clinical and Translational Science Institute University of Florida. Six Trends. 1. Rise of the small. PubMed new publications per year. 2. Increasing v olume of science. - PowerPoint PPT PresentationTRANSCRIPT
The Research Lifecycle: Partnering for Success
March 15, 2013 Salt Lake City, Utah
Michael Conlon, PhDClinical and Translational Science Institute
University of Florida
Six Trends
1. Rise of the small
2. Increasing volume of science
PubMed new publications per year
The Problems Got Hard
3. Increasing complexity of scientific problems
Data Got Big (IDR Slide)
4. Big Data
Lots of Competitors
2012 Shanghai ranking of world universities http://en.wikipedia.org/wiki/Academic_Ranking_of_World_Universities
5. Competition rises
6. Internet disintermediation of science continues
How can we know what is going on,
build teams, solve data-driven problems?
Research Discovery
ResearchDiscovery
… And the connections between them
VIVO: Data, Tools and Community
Simple tools for presentation, traversal,
search
ScienceMap. Examine collections of publications for individuals, work groups, institutions
Co-Funded Network
2008 2012
Main Component: what changes have occurred between 2008 and 2012?• More of Health Science Center comes under the CTSI umbrella• The CTSI has a broader reach in the whole network• Increasingly the CTSI incorporates all researchers in relevant areas (areas not relevant to
CTSI research fields naturally remain out of its network)
Chris McCarty & Raffaele Vacca, UF Bureau of Business and Economic Research
• Data source: UF Division of Sponsored Research award data• Each node represents one Contract PI, Project PI or Co-PI linked by a common PeopleSoft Contract number• Nodes are sized by Total Awarded in UF fiscal year (July-June)
Ontology Process
Everything has identifiers
processOrg<-function(uri){ x<-xmlParse(uri) u<-NULL name<-xmlValue(getNodeSet(x,"//rdfs:label")[[1]]) subs<-getNodeSet(x,"//j.1:hasSubOrganization") if(length(subs)==0) list(name=name,subs=NULL) else { for(i in 1:length(subs)){ sub.uri<-getURI(xmlAttrs(subs[[i]])["resource"]) u<-c(u,processOrg(sub.uri)) } list(name=name,subs=u) }}
VIVO produces both HTML and RDF
Software reads VIVO RDF and displays
Community
Augmenting data
VIVO Searchlight
Mentoring