Crowdsourcing in biomedicine: challenges and opportunities

The use of crowdsourcing to solve important but complex problems in biomedical and clinical sciences is growing and encompasses a wide variety of approaches. The crowd is diverse and includes online marketplace workers, health information seekers, science enthusiasts and domain experts. In this arti...

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Veröffentlicht in:Briefings in bioinformatics Jg. 17; H. 1; S. 23 - 32
Hauptverfasser: Khare, Ritu, Good, Benjamin M., Leaman, Robert, Su, Andrew I., Lu, Zhiyong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Oxford Publishing Limited (England) 01.01.2016
Oxford University Press
Schlagworte:
Bioinformatics
Biomedical research
Computational Biology - trends
Crowdsourcing
Crowdsourcing - trends
Current Progress in Bioinformatics 2016 Papers
Data Mining
experts
Genomics
health information
Humans
Internet
markets
medicine
Search Engine
Smartphone
Social Media
Video Games
games
biomedicine
crowdsourcing
big data mining
community challenges
Amazon Mechanical Turk
ISSN:1467-5463, 1477-4054, 1477-4054
Online-Zugang:Volltext
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Zusammenfassung:The use of crowdsourcing to solve important but complex problems in biomedical and clinical sciences is growing and encompasses a wide variety of approaches. The crowd is diverse and includes online marketplace workers, health information seekers, science enthusiasts and domain experts. In this article, we review and highlight recent studies that use crowdsourcing to advance biomedicine. We classify these studies into two broad categories: (i) mining big data generated from a crowd (e.g. search logs) and (ii) active crowdsourcing via specific technical platforms, e.g. labor markets, wikis, scientific games and community challenges. Through describing each study in detail, we demonstrate the applicability of different methods in a variety of domains in biomedical research, including genomics, biocuration and clinical research. Furthermore, we discuss and highlight the strengths and limitations of different crowdsourcing platforms. Finally, we identify important emerging trends, opportunities and remaining challenges for future crowdsourcing research in biomedicine.
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ISSN:1467-5463
1477-4054
1477-4054
DOI:10.1093/bib/bbv021