Highlights
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- We surveyed citizen science projects to uncover their goals, methods and outcomes.
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- We compare these to scientists' perceptions, preferences and requirements of data.
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- Scientists' preferences may be limiting applications of citizen science data.
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- Citizen science projects surveyed have variable goals and data quality.
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- Transparency and accessibility of metadata would facilitate data use and partnerships.
Abstract
Biodiversity
citizen science projects are growing in number, size, and scope, and
are gaining recognition as valuable data sources that build public
engagement. Yet publication rates indicate that citizen science is still
infrequently used as a primary tool for conservation research and the
causes of this apparent disconnect have not been quantitatively
evaluated. To uncover the barriers to the use of citizen science as a
research tool, we surveyed professional biodiversity scientists
(n = 423) and citizen science project managers (n = 125). We conducted
three analyses using non-parametric recursive modeling (random forest),
using questions that addressed: scientists' perceptions and preferences
regarding citizen science, scientists' requirements for their own data,
and the actual practices of citizen science projects. For all three
analyses we identified the most important factors that influence the
probability of publication using citizen science data. Four general
barriers emerged: a narrow awareness among scientists of citizen science
projects that match their needs; the fact that not all biodiversity
science is well-suited for citizen science; inconsistency in data
quality across citizen science projects; and bias among scientists for
certain data sources (institutions and ages/education levels of data
collectors). Notably, we find limited evidence to suggest a relationship
between citizen science projects that satisfy scientists' biases and
data quality or probability of publication. These results illuminate the
need for greater visibility of citizen science practices with respect
to the requirements of biodiversity science and show that addressing
bias among scientists could improve application of citizen science in
conservation.
Keywords
- Biodiversity;
- Citizen science;
- Data quality;
- Outreach;
- Public participation in science;
- Research
© 2016 Published by Elsevier Ltd.