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How Global is the Global Biodiversity Information Facility?

Yesson, Chris, Brewer, Peter W., Sutton, Tim, Caithness, Neil, Pawha, Jaspreet S., Burgess, Mikhaila, Gray, William Alexander, White, Richard, Jones, Andrew Clifford, Bisby, Frank A. and Culham, Alastair 2007. How Global is the Global Biodiversity Information Facility? PLoS ONE 2 (11) , e1124. 10.1371/journal.pone.0001124

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Abstract

There is a concerted global effort to digitize biodiversity occurrence data from herbarium and museum collections that together offer an unparalleled archive of life on Earth over the past few centuries. The Global Biodiversity Information Facility provides the largest single gateway to these data. Since 2004 it has provided a single point of access to specimen data from databases of biological surveys and collections. Biologists now have rapid access to more than 120 million observations, for use in many biological analyses. We investigate the quality and coverage of data digitally available, from the perspective of a biologist seeking distribution data for spatial analysis on a global scale. We present an example of automatic verification of geographic data using distributions from the International Legume Database and Information Service to test empirically, issues of geographic coverage and accuracy. There are over 1/2 million records covering 31% of all Legume species, and 84% of these records pass geographic validation. These data are not yet a global biodiversity resource for all species, or all countries. A user will encounter many biases and gaps in these data which should be understood before data are used or analyzed. The data are notably deficient in many of the world's biodiversity hotspots. The deficiencies in data coverage can be resolved by an increased application of resources to digitize and publish data throughout these most diverse regions. But in the push to provide ever more data online, we should not forget that consistent data quality is of paramount importance if the data are to be useful in capturing a meaningful picture of life on Earth.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: PLoS
ISSN: 1932-6203
Date of First Compliant Deposit: 30 March 2016
Last Modified: 11 Sep 2018 22:12
URI: http://orca.cf.ac.uk/id/eprint/39568

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Cited 75 times in Web of Science. View in Web of Science.

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