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ARS Home » Plains Area » El Reno, Oklahoma » Grazinglands Research Laboratory » Agroclimate and Natural Resources Research » Research » Publications at this Location » Publication #228469

Title: Enhancing watershed research capacity: the role of data management

Author
item Steiner, Jean
item Sadler, Edward - John
item Hatfield, Jerry
item Wilson, Greg
item James, David
item Vandenberg, Bruce
item Ross, John
item Oster, Teri
item Cole, Kevin

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 6/26/2008
Publication Date: 6/27/2008
Citation: Steiner, J.L., Sadler, E.J., Hatfield, J.L., Wilson, G.J., James, D.E., Vandenberg, B.C., Ross, J.D., Oster, T., Cole, K.L. 2008. Enhancing watershed research capacity: the role of data management [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts, October 5-9, 2008, Houston, Texas. Abstract No. 535-4. Available: http://a-c-s.confex.com/crops/2008am/webprogram/Paper41960.html

Interpretive Summary: Abstract Only.

Technical Abstract: Water resources are under growing pressure globally, and in the face of projected climate change, changes in precipitation frequency and intensity; evapotranspiration, runoff, and snowmelt pose severe societal challenges. Interdisciplinary environmental research across natural and social sciences to address challenges in water resource management will require complex and long-term data. The Agricultural Research Service supports a unique set of long-term research watersheds that can contribute to such analyses. To effectively retrieve embedded information/knowledge from watershed studies, and apply to national scale hydrological research, a web-based data system, STEWARDS, was developed, to overcome problems of fragmentation, inadequate documentation, and cumbersome manipulation. This paper will discuss the role of data management in enhancing watershed research capacity, the evolving information technologies that are available to improve watershed data management, and strategies and approaches taken in STEWARDS to compile, document and provide access to data from loosely coupled research watersheds across the ARS program.