The long-term ecological research community metadata standardisation project: A progress report

被引：3

作者：

Gil, Inigo San ^{[1
]}

Baker, Karen ^{[2
]}

Campbell, John ^{[3
]}

Denny, Ellen G. ^{[3
]}

Vanderbilt, Kristin ^{[4
]}

Riordan, Brian ^{[5
]}

Koskela, Rebecca ^{[5
]}

Downing, Jason ^{[5
]}

Grabner, Sabine ^{[6
]}

Melendez, Eda ^{[7
]}

Walsh, Jonathan M. ^{[8
]}

Kortz, Mason ^{[2
]}

Conners, James ^{[2
]}

Yarmey, Lynn ^{[2
]}

Kaplan, Nicole ^{[9
]}

Boose, Emery R. ^{[10
]}

Powell, Linda ^{[11
]}

Gries, Corinna ^{[12
]}

Schroeder, Robin ^{[12
]}

Ackerman, Todd ^{[13
]}

Ramsey, Ken ^{[14
]}

Benson, Barbara ^{[15
]}

Chipman, Jonathan ^{[15
]}

Laundre, James ^{[16
]}

Garritt, Hap ^{[17
]}

Henshaw, Don ^{[18
]}

Barrie, Collins ^{[19
]}

Gardner, Christopher ^{[20
]}

Bohm, Sven ^{[21
]}

O'Brien, Margaret ^{[22
]}

Gao, Jincheng ^{[23
]}

Sheldon, Wade ^{[24
]}

Lyon, Stephanie ^{[25
]}

Bahauddin, Dan ^{[25
]}

Servilla, Mark ^{[26
]}

Costa, Duane ^{[26
]}

Brunt, James ^{[26
]}

机构：

[1] Department of Biology, University of New Mexico, LTER Network Office, Albuquerque, NM 87131

[2] Scripps Institution of Oceanography, University of California at San Diego, San Diego

[3] Hubbard Brook LTER, USDA Forest Service, Durham, NH 03824

[4] Department of Biology, University of New Mexico, Sevilleta LTER, Albuquerque, NM 87131

[5] Bonanza Creek Long Term Ecological Research Station, University of Alaska Fairbanks, Fairbanks, AK 99709

[6] University of Applied Sciences, Dornbirn

[7] Luquillo Experimental Forest LTER, University of Puerto Rico at Rio Piedras, San Juan

[8] Baltimore Ecosystem Study LTER, Cary Institute of Ecosystem Studies, Millbrook, NY 12545

[9] Short Grass Steppe LTER, Colorado State University, Fort Collins

[10] Harvard Forest LTER, Harvard University, Petersham

[11] Florida Coastal Everglades LTER, Florida International University, Miami, FL 33199, University Park

[12] Central Arizona Phoenix LTER, Global Institute of Sustainability, Arizona State University, Tempe

[13] Niwot Ridge LTER, University of Colorado, Boulder, CO 80309-0450

[14] Jornada del Muerto LTER, Department of Biology, New Mexico State University, Jornada LTER, Las Cruces

[15] Center for Limnology, University of Wisconsin-Madison, North Temperate Lakes LTER, Madison, WI 53706

[16] Marine Biological Laboratory Ecosystems, Arctic LTER

[17] Plum Island Ecosystem LTER, Marine Biological Laboratory Ecosystems

[18] Andrews Forest LTER, USDA Forest Service Pacific NW Research Station, Corvallis, OR 97331

[19] Anthropology Department, 251 Baldwin Hall, University of Georgia

[20] McMurdo Dry Valleys LTER, Byrd Polar Research Center, Columbus, OH 43210

[21] Kellog Biological Station, Department of Crop and Soil Sciences, Michigan State University

[22] Santa Barbara Coastal LTER, Marine Science Institute, University of California at Santa Barbara, Santa Barbara

[23] Konza Prairie LTER, Division of Biology, Kansas State University, Manhattan

[24] Georgia Coastal Ecosystems LTER, Department of Marine Sciences, University of Georgia, Athens

[25] Cedar Creek Natural History Area LTER, 100 Ecology Building, St. Paul, MN 55108

[26] LTER Network Office, Department of Biology, University of New Mexico, Albuquerque, NM 87131

来源：

International Journal of Metadata, Semantics and Ontologies | 2009年 / 4卷 / 03期

关键词：

Ecological metadata language; EML; Metadata; Metadata management; Standardisation;

D O I：

10.1504/IJMSO.2009.027750

中图分类号：

学科分类号：

摘要：

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. Copyright © 2009 Inderscience Enterprises Ltd.

引用

页码：141 / 153

页数：12

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