Skip to page content
USDA Forest Service
  
Treesearch

Research & Development Treesearch

 
Treesearch Home
About Treesearch
Contact Us
Research & Development
Forest Products Lab
International Institute of Tropical Forestry
Northern
Pacific Northwest
Pacific Southwest
Rocky Mountain
Southern Research Station
Help
 

Science.gov - We Participate


USA.gov  Government Made Easy


Global Forest Information Service

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

You are here: Home / Search / Publication Information
Bookmark and Share

Publication Information

View PDF (960 KB)

Title: The long-term ecological research community metada standardisation project: a progress report

Author: San Gil, Inigo; Baker, Karen; Campbell, John; Denny, Ellen G.; Vanderbilt, Kristin; Riordan, Brian; Koskela, Rebecca; Downing, Jason; Grabner, Sabine; Melendez, Eda; Walsh, Jonathan M.; Kortz, Masib; Conners, James; Yarmey, Lynn; Kaplan, Nicole; Boose, Emery R.; Powell, Linda; Gries, Corinna; Schroeder, Robin; Ackerman, Todd; Ramsey, Ken; Benson, Barbara; Chipman, Jonathan; Laundre, James; Garritt, Hap; Henshaw, Don; Collins, Barrie; Gardner, Christopher; Bohm, Sven; O'Brien, Margaret; Gao, Jincheng; Sheldon, Wade; Lyon, Stephanie; Bahauddin, Dan; Servilla, Mark; Costa, Duane; Brunt, James;

Date: 2009

Source: International Journal of Metadata, Semantics and Ontologies. 4(3); 141-153

Publication Series: Scientific Journal (JRNL)

Description: We describe the process by which the Long-Term Ecological Research (LTER) Network standardized their metadata through the adoption of the Ecological Metadata Language (EML). We describe the strategies developed to improve motivation and to complement the information technology resources available at the LTER sites. EML implementation is presented as a mapping process that was accomplished per site in stages, with metadata quality ranging from "discovery level" to rich-content level over time. As of publication, over 6,000 rich-content standardized records have been published using EML, potentially enabling the goal of machine-mediated, metadata-driven data synthesis.

Keywords: metadata, metadata management, standardisation, EML, ecological metadata language

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

XML: View XML

Citation:


San Gil, I.; Baker, K.; Campbell, J.; Denny, E.G.; Vanderbilt, K.; Riordan, B.; Koskela, R.; Downing, J.; Grabner, S.; Melendez, E.; Walsh, J.M.; Kortz, M.; Conners, J.; Yarmey, L.; Kaplan, N.; Boose, E.R.; Powell, L.; Gries, C.; Schroeder, R.; Ackerman, T.; Ramsey, K.; Benson, B.; Chipman, J.; Laundre, J.; Garritt, H.; Henshaw, D.; Collins, B.; Gardner, C.; Bohm, S.; O'Brien, M.; Gao, J.; Sheldon, W.; Lyon, S.; Bahauddin, D.; Servilla, M.; Costa, D.; Brunt, J. 2009. The long-term ecological research community metada standardisation project: a progress report. International Journal of Metadata, Semantics and Ontologies. 4(3); 141-153. DUPLICATE (delete?).

 


 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.