Reputation modelling in Citizen Science for environmental acoustic data analysis

Yang, Haofan, Zhang, Jinglan, & Roe, Paul (2012) Reputation modelling in Citizen Science for environmental acoustic data analysis. Social Network Analysis and Mining.

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Citizen Science projects are initiatives in which members of the general public participate in scientific research projects and perform or manage research-related tasks such as data collection and/or data annotation. Citizen Science is technologically possible and scientifically significant. However, although research teams can save time and money by recruiting general citizens to volunteer their time and skills to help data analysis, the reliability of contributed data varies a lot. Data reliability issues are significant to the domain of Citizen Science due to the quantity and diversity of people and devices involved. Participants may submit low quality, misleading, inaccurate, or even malicious data. Therefore, finding a way to improve the data reliability has become an urgent demand. This study aims to investigate techniques to enhance the reliability of data contributed by general citizens in scientific research projects especially for acoustic sensing projects. In particular, we propose to design a reputation framework to enhance data reliability and also investigate some critical elements that should be aware of during developing and designing new reputation systems.

Impact and interest:

3 citations in Scopus
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141 since deposited on 25 Feb 2013
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ID Code: 57569
Item Type: Journal Article
Refereed: Yes
Keywords: Citizen Science, Reputation Management, Decision Making, Community Informatics
DOI: 10.1007/s13278-012-0087-3
ISSN: 1869-5469
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Springer-Verlag Wien
Copyright Statement: The original publication is available at SpringerLink
Deposited On: 25 Feb 2013 01:06
Last Modified: 24 Jun 2017 14:36

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