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The Trouble with Triplets in Biodiversity Informatics: A Data-Driven Case against Current Identifier Practices

Overview of attention for article published in PLOS ONE, December 2014
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Title
The Trouble with Triplets in Biodiversity Informatics: A Data-Driven Case against Current Identifier Practices
Published in
PLOS ONE, December 2014
DOI 10.1371/journal.pone.0114069
Pubmed ID
Authors

Robert Guralnick, Tom Conlin, John Deck, Brian J. Stucky, Nico Cellinese

Abstract

The biodiversity informatics community has discussed aspirations and approaches for assigning globally unique identifiers (GUIDs) to biocollections for nearly a decade. During that time, and despite misgivings, the de facto standard identifier has become the "Darwin Core Triplet", which is a concatenation of values for institution code, collection code, and catalog number associated with biocollections material. Our aim is not to rehash the challenging discussions regarding which GUID system in theory best supports the biodiversity informatics use case of discovering and linking digital data across the Internet, but how well we can link those data together at this moment, utilizing the current identifier schemes that have already been deployed. We gathered Darwin Core Triplets from a subset of VertNet records, along with vertebrate records from GenBank and the Barcode of Life Data System, in order to determine how Darwin Core Triplets are deployed "in the wild". We asked if those triplets follow the recommended structure and whether they provide an easy and unambiguous means to track from specimen records to genetic sequence records. We show that Darwin Core Triplets are often riddled with semantic and syntactic errors when deployed and curated in practice, despite specifications about how to construct them. Our results strongly suggest that Darwin Core Triplets that have not been carefully curated are not currently serving a useful role for relinking data. We briefly consider needed next steps to overcome current limitations.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 3 5%
Germany 2 4%
Sweden 1 2%
Brazil 1 2%
Denmark 1 2%
Finland 1 2%
Unknown 48 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 40%
Student > Ph. D. Student 7 12%
Student > Master 7 12%
Other 6 11%
Professor 3 5%
Other 8 14%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 60%
Environmental Science 6 11%
Computer Science 5 9%
Arts and Humanities 2 4%
Nursing and Health Professions 1 2%
Other 3 5%
Unknown 6 11%