INDURE: INdiana Database for University Research Expertise PI: Aditya P. Mathur Professor and Head...
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![Page 1: INDURE: INdiana Database for University Research Expertise PI: Aditya P. Mathur Professor and Head Co-PI: Luo Si Assistant Professor Department of Computer.](https://reader037.fdocuments.in/reader037/viewer/2022090103/5a4d1bb57f8b9ab0599ce711/html5/thumbnails/1.jpg)
INDURE: INdiana Database for University Research Expertise
PI: Aditya P. MathurProfessor and Head
Co-PI: Luo SiAssistant ProfessorDepartment of Computer Science
Co-PI: Kyle BowenJason FishInformation Technology at Purdue (ITaP)
April 21, 2008
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Project-INDURE©: Goal
Develop, deploy, and maintain an easy-to-access database of research expertise, intellectual property, and ongoing sponsored research projects at academic institutions across the state of Indiana.
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Project-INDURE©: Funding
Indiana Economic Development Corporation:Phase I: $105K. Deadline: June 30, 2008
Phases II-IV: To be determined
University Partners:
Ball State
Indiana University
Notre Dame
Purdue University
Industrial Partners:
Nexpointe Strategies, LLC.
Humanizing Technologies Inc.
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INDURE Contents
IU
Notre Dame
Ball State
Purdue
ParticipatingFaculty* at:
Researchareas
SponsoredProjects
Availabletechnology
INDUREDatabase
* Other universities in the state of Indiana to be added in Phase II of the project.
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INDURE Data Sources
INDUREDatabase
Department Heads/Assistants
Faculty
Faculty expertise data
PhD Theses
AvailableTechnologies
SponsoredPrograms
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INDURE Access
Faculty/Admin
Login
Local authentication
Specialaccess
INDUREDatabase
SpecializedSearchEngines
SearchRequest/Response
[ No loginRequired ]
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INDURE Benefits
To University/Faculty:
(a) Exposition of research expertise; improved chances of
funding and industrial collaboration.
(b) Improved ability to organize interdisciplinary research groups
across universities, colleges, and industrial partners in the
state
(c) Better graduate student recruiting
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INDURE Maintenence
(a) Faculty can update their individual data at any time.
(b) Department heads update faculty data twice an year.
(c) Automatic update through machine learning techniques;
faculty publications and PhD theses automatically scanned to
create research profile used for searching.
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Thank you for your cooperation!
Project-INDURE©
INDUREDatabase