VIVO: Support for Translational Research
https://www.amia.org ( Publisher's URL )
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Permanent Link: http://ufdc.ufl.edu/IR00000383/00001
 Material Information
Title: VIVO: Support for Translational Research
Physical Description: Conferenc Poster
Creator: Tennant, Michele
Holmes, Kristi
Barnes, Chris
Ding, Ying
Davis, Valrie
Gonzalez, Sara Russell
McIntosh, Leslie
Publisher: AMIA
 Notes
Acquisition: Collected for University of Florida's Institutional Repository by the UFIR Self-Submittal tool. Submitted by Valrie Davis.
Publication Status: Unpublished
 Record Information
Source Institution: University of Florida Institutional Repository
Holding Location: University of Florida
Rights Management: All rights reserved by the source institution.
System ID: IR00000383:00001

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What is VIVO?



U VIVO is an open source semantic web application that enables the discovery of research and

scholarship across disciplinary and administrative boundaries through interlinked profiles of

people and other research-related information.



U VIVO uses data ingested from institutional sources of record and external sources and can be

supplemented with manual entry to populate detailed profiles of researchers with information

related to publications, grants, educational background, research interests, teaching, awards,

professional affiliations, and more.



U Data in VIVO conform to a public ontology of types and relationships that can be extended for

local needs via the ontology editor included with the VIVO application.



U VIVO's ontology supports faceted searching for quick retrieval of people, organizations, events,

and research-related information.



U Institutional VIVOs and other compatible profiling applications are producing data to form a

rich network of information that can be searched to foster collaboration across institutions and

enable open sharing of research discovery.





How can you use VIVO?


FacvlIW/Scho a IR sea ce ISc enist
* Find collaborators
* Keep abreast of new work
* Track competitors
* Rely on customized profiles
maintained via automatic updates


* Discover current funded projects
* Search for specialized expertise
-Visualize research activity within
an institution






Adrinistrator
" Showcase college, program,
departmental activities
* Identify areas of institutional
strength
* Manage data in one place


* Identify research data to gather/
curate/share
*Track research to prioritize
collection budgeting
* Customize library collections and
services





Stvdent
* Locate mentors, advisors, or
collaborators
* Locate events, seminars, courses,
programs, facilities
* Showcase own research


Anthony is writing a multi-disciplinary research proposal on molecular treatments for breast cancer. He
would like to identify and contact potential collaborators and begin to exchange information regarding the
research.


Mary is the director of a large research center. She would like to visualize clusters of interests, techniques,
and areas of specialty amongst the researchers that are part of her center. She would like to use this
information to grow existing areas of strength and collaborative efforts and maximize ROI.


Tom is completing his BS in Biology. He wants to identify institutions with robust programs in his research
area of interest - the genetic bases of neurodegenerative disorders.


Samantha is a faculty member at an university. She is looking for papers published by other scholars at her
institution on using advanced statistical methods to analyze research impact in the bioinformatics domain.


David is a federal agency staff member. He needs to identify people who can serve on scientific review
panels. He wants to find people who work in specific areas, but wants to exclude people who have been
co-authors with the researchers whose proposals are under review.


Library administration or directors of core facilities want to align their strategic plan with the evolving
research needs of their clientele. Identifying growth areas of research through increasing publications,
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The Harvester is an extensible data ingest

and updating framework with sample

configurations for loading PubMed

publication, grants, and human resources

data. External
Data Store

Download Harvester:

http://sourceforge.net/projects/vivo


VIVO 1.2 includes a new ontology module

representing research resources including

biological specimens, human studies,

instruments, organisms, protocols, reagents,

and research opportunities. This module is

aligned with the top-level ontology classes and

properties from the NIH-funded eagle-i Project

(https://www.eagle-i.org/home/).


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By storing data in VIVO in RDF and using standard ontologies, the information in VIVO can

either be displayed in a human-readable web page or delivered to other systems as RDR This

allows the open researcher data in VIVO to be harvested, aggregated, and integrated into the
Linked Open Data cloud. SPARQL is an RDF query language which allows users to construct

globally unambiguous queries, from across diverse data sources.


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