Post on 30-Dec-2015
INDURE: INdiana Database for University Research Expertise
Aditya P. Mathur
Professor and Head
Department of Computer Scienceapm@purdue.edu
Indiana Logistics Conference
November 12, 2008
http://www.indure.org
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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.
Project-INDURE©: Funding
Indiana Economic Development Corporation:
Phase I: $105K. Deadline: July 31, 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.
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 subsequent phases.
** Phase II
INDURE Data Sources
INDUREDatabase
Department Heads/Assistants
Faculty
Faculty expertise data
PhD Theses
AvailableTechnologies
SponsoredPrograms
INDURE Access
Faculty/Admin
Login
Local authentication
Specialaccess
INDUREDatabase
SpecializedSearchEngines
SearchRequest/Response
[ No loginRequired ]
INDURE Search Domain
Keywords
Research AreasHome Page
Publications
(Library)
Research Grants
(SPS)
Patents/Technology
(OTC)NSF Awards Database
Other databases*
* Phase II: PubMed. USASpending.Lexis-Nexis, West Law. Others
Search Engine
INDURE Phase II1. Integrate library, SPS, and OTC data from BSU, ND, IU.
2. Add plug-ins:
• Governor
• Grant notification
• IP matching
• Social networking
3. Search broadening: PubMed, Lexis-Nexis, West Law,
USASpending
4. User-centric search parameter tuning
5. INDURE web service: Canopy, CTSI, iBridge, Polis center and
other interested organizations
6. Enhanced user interface
7. Inclusion of additional colleges/universities
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, doctoral dissertations advised, and IP
automatically input to create research profile used in
searching.
Thank you for your cooperation!
Questions?
Project-INDURE©
INDUREDatabase