1. INDURE: INdiana Database for University Research Expertise
Aditya P. Mathur
Professor and Head
Department of Computer Science
Indiana Logistics Conference
November 12, 2008 1

2. 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. 2

3. 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. 3

4. INDURE Contents Research Participating areas Faculty* at: Ball State
Sponsored
Projects**
Available
Technology** IU
Notre Dame
Ball State
Purdue
Participating
Faculty* at:
INDURE
Database
* Other universities in the state of Indiana to be added in subsequent phases.
** Phase II 4

5. INDURE Data Sources Department Heads/Assistants Faculty expertise data
Database
Sponsored
Programs
PhD
Theses
Available
Technologies 5

6. INDURE Access [ No login Required ] Faculty/Admin Local authentication
Database
Specialized
Search
Engines
Search
Request/Response
[ No login
Required ]
Faculty/Admin
Login
Local
authentication
Special
access 6

7. INDURE Search Domain Keywords Research Areas Home Page Search Engine
Publications
(Library)
Research Grants
(SPS)
Patents/Technology
(OTC)
NSF Awards Database
Other databases*
* Phase II: PubMed. USASpending.Lexis-Nexis, West Law. Others 7

8. INDURE Phase II Integrate library, SPS, and OTC data from BSU, ND, IU.
Add plug-ins:
Governor
Grant notification
IP matching
Social networking
Search broadening: PubMed, Lexis-Nexis, West Law, USASpending
User-centric search parameter tuning
INDURE web service: Canopy, CTSI, iBridge, Polis center and other interested organizations
Enhanced user interface
Inclusion of additional colleges/universities 8

9. INDURE Maintenence
Faculty can update their individual data at any time.
Department heads update faculty data twice an year.
Automatic update through machine learning techniques; faculty publications, doctoral dissertations advised, and IP automatically input to create research profile used in searching. 9

10. Project-INDURE© Questions? Thank you for your cooperation! INDURE
Database
Questions? 10