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The Long-Term Ecological Research community metadata standardisation project: a progress report

2009; Inderscience Publishers; Volume: 4; Issue: 3 Linguagem: Inglês

10.1504/ijmso.2009.027750

1744-263X

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

Scientific Computing and Data Management

We describe the process by which the Long-Term Ecological Research (LTER) Network standardised 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 6000 rich-content standardised records have been published using EML, potentially enabling the goal of machine-mediated, metadata-driven data synthesis.