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Assessing the Primary Data Hosted by the Spanish Node of the Global Biodiversity Information Facility (GBIF)

Overview of attention for article published in PLOS ONE, January 2013
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Title
Assessing the Primary Data Hosted by the Spanish Node of the Global Biodiversity Information Facility (GBIF)
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0055144
Pubmed ID
Authors

Javier Otegui, Arturo H. Ariño, María A. Encinas, Francisco Pando

Abstract

In order to effectively understand and cope with the current 'biodiversity crisis', having large-enough sets of qualified data is necessary. Information facilitators such as the Global Biodiversity Information Facility (GBIF) are ensuring increasing availability of primary biodiversity records by linking data collections spread over several institutions that have agreed to publish their data in a common access schema. We have assessed the primary records that one such publisher, the Spanish node of GBIF (GBIF.ES), hosts on behalf of a number of institutions, considered to be a highly representative sample of the total mass of available data for a country in order to know the quantity and quality of the information made available. Our results may provide an indication of the overall fitness-for-use in these data. We have found a number of patterns in the availability and accrual of data that seem to arise naturally from the digitization processes. Knowing these patterns and features may help deciding when and how these data can be used. Broadly, the error level seems low. The available data may be of capital importance for the development of biodiversity research, both locally and globally. However, wide swaths of records lack data elements such as georeferencing or taxonomical levels. Although the remaining information is ample and fit for many uses, improving the completeness of the records would likely increase the usability span for these data.

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Mendeley readers

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Geographical breakdown

Country Count As %
Spain 4 4%
Brazil 3 3%
Chile 1 <1%
Norway 1 <1%
Indonesia 1 <1%
Israel 1 <1%
Mexico 1 <1%
Australia 1 <1%
Belgium 1 <1%
Other 3 3%
Unknown 95 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 21%
Student > Ph. D. Student 21 19%
Student > Bachelor 16 14%
Student > Master 13 12%
Other 9 8%
Other 19 17%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 43%
Environmental Science 14 13%
Computer Science 14 13%
Earth and Planetary Sciences 6 5%
Engineering 4 4%
Other 12 11%
Unknown 14 13%