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