NSF Org:	DBI Div Of Biological Infrastructure
Recipient:	ARIZONA STATE UNIVERSITY
Initial Amendment Date:	December 17, 1999
Latest Amendment Date:	November 15, 2001
Award Number:	9983132
Award Instrument:	Continuing Grant
Program Manager:	Gerald F. Guala DBI  Div Of Biological Infrastructure BIO  Direct For Biological Sciences
Start Date:	December 15, 1999
End Date:	November 30, 2003 (Estimated)
Total Intended Award Amount:	$720,489.00
Total Awarded Amount to Date:	$720,489.00
Funds Obligated to Date:	FY 2000 = $191,532.00 FY 2001 = $257,181.00 FY 2002 = $271,776.00
History of Investigator:	Peter McCartney (Principal Investigator) peter.mccartney@asu.edu Charles Redman (Co-Principal Investigator) Nancy Grimm (Co-Principal Investigator) Timothy Craig (Co-Principal Investigator) Corinna Gries (Co-Principal Investigator)
Recipient Sponsored Research Office:	Arizona State University 660 S MILL AVE STE 312 TEMPE AZ  US  85281-3670 (480)965-5479
Sponsor Congressional District:	09
Primary Place of Performance:	Arizona State University 660 S MILL AVE STE 312 TEMPE AZ  US  85281-3670
Primary Place of Performance Congressional District:	09
Unique Entity Identifier (UEI):	NTLHJXM55KZ6
Parent UEI:	HX59VKHQH1V7
NSF Program(s):	ADVANCES IN BIO INFORMATICS
Primary Program Source:	040100 NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	1306, 9184, BIOT
Program Element Code(s):	1165
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.074

ABSTRACT

Abstract


DBI-9983132

McCartney Arizona State

Networking our Research Legacy; Infrastructure to Document, manage, and Access Ecological Data

Summary

This project proposes to develop an information infrastructure that will greatly enhance access to a broad spectrum of ecological data resources at Arizona State University. A suite of existing databases that inventory metadata, taxonomic data, and bibliographies will be cross-referenced and enhanced to support spatial queries and searches via national clearinghouses for geo-spatial, taxonomic and collections data. Through development of a series of tools for automated processing of metadata and data, searches for primary datasets will be able to fluidly direct the user to online preview and query interfaces. These tools will provide several key functions that leverage the power of metadata in automating data access, including simplifying metadata generation, metadata reporting and display, rapid application for data query, and simplifying data import and export over the Internet. The use of open standards such as eXtensible Markup Language and Java and the modular approach to development taken by this project will ensure the flexibility that will allow rapid support for new datasets within the infrastructure and the development of interfaces that address the data needs of diverse target audiences. Prototype applications that illustrate the use of these tools will be developed for three such audiences: academic research, education, and management.

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