Community-based data validation practices in citizen science

Andrea Wiggins, Yurong He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

Technology-supported citizen science has created huge volumes of data with increasing potential to facilitate scientific progress, however, verifying data quality is still a substantial hurdle due to the limitations of existing data quality mechanisms. In this study, we adopted a mixed methods approach to investigate community-based data validation practices and the characteristics of records of wildlife species observations that affected the outcomes of collaborative data quality management in an online community where people record what they see in the nature. The findings describe the processes that both relied upon and added to information provenance through information stewardship behaviors, which led to improved reliability and informativity. The likelihood of community-based validation interactions were predicted by several factors, including the types of organisms observed and whether the data were submitted from a mobile device. We conclude with implications for technology design, citizen science practices, and research.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
PublisherAssociation for Computing Machinery
Pages1548-1559
Number of pages12
ISBN (Electronic)9781450335928
DOIs
StatePublished - Feb 27 2016
Externally publishedYes
Event19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States
Duration: Feb 27 2016Mar 2 2016

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Volume27

Conference

Conference19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
Country/TerritoryUnited States
CitySan Francisco
Period2/27/163/2/16

Keywords

  • Citizen science
  • Data quality
  • Data validation
  • Information assessability
  • Open collaboration

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

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