Abstract:
:Citizen science is mainstream: millions of people contribute data to a growing array of citizen science projects annually, forming massive datasets that will drive research for years to come. Many citizen science projects implement a "leaderboard" framework, ranking the contributions based on number of records or species, encouraging further participation. But is every data point equally "valuable?" Citizen scientists collect data with distinct spatial and temporal biases, leading to unfortunate gaps and redundancies, which create statistical and informational problems for downstream analyses. Up to this point, the haphazard structure of the data has been seen as an unfortunate but unchangeable aspect of citizen science data. However, we argue here that this issue can actually be addressed: we provide a very simple, tractable framework that could be adapted by broadscale citizen science projects to allow citizen scientists to optimize the marginal value of their efforts, increasing the overall collective knowledge.
journal_name
PLoS Bioljournal_title
PLoS biologyauthors
Callaghan CT,Rowley JJL,Cornwell WK,Poore AGB,Major REdoi
10.1371/journal.pbio.3000357subject
Has Abstractpub_date
2019-06-27 00:00:00pages
e3000357issue
6eissn
1544-9173issn
1545-7885pii
PBIOLOGY-D-19-00977journal_volume
17pub_type
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