Data from: Crowdsourcing the identification of organisms: a case-study of iSpot

Jonathan Silvertown, Martin Harvey, Richard Greenwood, Mike Dodd, Jon Rosewell, Tony Rebelo, Janice Ansine & Kevin McConway
Accurate species identification is fundamental to biodiversity science, but the natural history skills required for this are neglected in formal education at all levels. In this paper we describe how the web application ispotnature.org and its sister site ispot.org.za (collectively, "iSpot") are helping to solve this problem by combining learning technology with crowdsourcing to connect beginners with experts. Over 94% of observations submitted to iSpot receive a determination. To date (2014), iSpot has crowdsourced the...

Registration Year

  • 2015
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Resource Types

  • Dataset
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Affiliations

  • South African National Biodiversity Institute
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  • University of Edinburgh
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  • The Open University
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