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Crowdsourcing and curation: perspectives from biology and natural language processing

Published in:

Database (Oxford) 2016 (Aug 7 2016)

Author(s):

Hirschman, L., Fort, K., Boue, S., Kyrpides, N., Islamaj Dogan, R., Cohen, K. B.

DOI:

10.1093/database/baw115

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. Database URL: http://www.mitre.org/publications/technical-papers/crowdsourcing-and-curation-perspectives.

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