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Darwin Core: An Evolving Community-Developed Biodiversity Data Standard

Overview of attention for article published in PLOS ONE, January 2012
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6 blogs
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46 X users
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Title
Darwin Core: An Evolving Community-Developed Biodiversity Data Standard
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0029715
Pubmed ID
Authors

John Wieczorek, David Bloom, Robert Guralnick, Stan Blum, Markus Döring, Renato Giovanni, Tim Robertson, David Vieglais

Abstract

Biodiversity data derive from myriad sources stored in various formats on many distinct hardware and software platforms. An essential step towards understanding global patterns of biodiversity is to provide a standardized view of these heterogeneous data sources to improve interoperability. Fundamental to this advance are definitions of common terms. This paper describes the evolution and development of Darwin Core, a data standard for publishing and integrating biodiversity information. We focus on the categories of terms that define the standard, differences between simple and relational Darwin Core, how the standard has been implemented, and the community processes that are essential for maintenance and growth of the standard. We present case-study extensions of the Darwin Core into new research communities, including metagenomics and genetic resources. We close by showing how Darwin Core records are integrated to create new knowledge products documenting species distributions and changes due to environmental perturbations.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 840 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 34 4%
Brazil 11 1%
United Kingdom 9 1%
Germany 8 <1%
Spain 8 <1%
Australia 3 <1%
Denmark 3 <1%
Colombia 3 <1%
Mexico 3 <1%
Other 28 3%
Unknown 730 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 208 25%
Student > Ph. D. Student 116 14%
Student > Master 102 12%
Student > Bachelor 78 9%
Other 68 8%
Other 147 18%
Unknown 121 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 382 45%
Environmental Science 117 14%
Computer Science 84 10%
Earth and Planetary Sciences 32 4%
Biochemistry, Genetics and Molecular Biology 23 3%
Other 53 6%
Unknown 149 18%