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Crowdsourcing and curation: perspectives from biology and natural language processing

Abstract : Crowdsourcing is increasingly utilized for performing tasks in both natural language processing and biocuration. Although there have been many applications of crowdsourcing in these fields, there have been fewer high-level discussions of the methodology and its applicability to biocuration. This paper explores crowdsourcing for biocuration through several case studies that highlight different ways of leveraging ‘the crowd’; these raise issues about the kind(s) of expertise needed, the motivations of participants, and questions related to feasibility, cost and quality. The paper is an outgrowth of a panel session held at BioCreative V (Seville, September 9–11, 2015). The session consisted of four short talks, followed by a discussion. In their talks, the panelists explored the role of expertise and the potential to improve crowd performance by training; the challenge of decomposing tasks to make them amenable to crowdsourcing; and the capture of biological data and metadata through community editing.
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Submitted on : Wednesday, September 28, 2016 - 12:02:30 PM
Last modification on : Wednesday, December 9, 2020 - 3:05:15 PM
Long-term archiving on: : Thursday, December 29, 2016 - 1:03:00 PM


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Lynette Hirschman, Karën Fort, Stéphanie Boué, Nikos Kyrpides, Islamaj Rezarta, et al.. Crowdsourcing and curation: perspectives from biology and natural language processing. Database - The journal of Biological Databases and Curation, Oxford University Press, 2016, 2016, ⟨10.1093/database/baw115⟩. ⟨hal-01373210⟩



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