Mechanisms for data quality and validation in citizen science

Andrea Wiggins, Greg Newman, Robert D. Stevenson, Kevin Crowston

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

66 Scopus citations

Abstract

Data quality is a primary concern for researchers employing a public participation in scientific research (PPSR) or "citizen science" approach. This mode of scientific collaboration relies on contributions from a large, often unknown population of volunteers with variable expertise. In a survey of PPSR projects, we found that most projects employ multiple mechanisms to ensure data quality and appropriate levels of validation. We created a framework of 18 mechanisms commonly employed by PPSR projects for ensuring data quality, based on direct experience of the authors and a review of the survey data, noting two categories of sources of error (protocols, participants) and three potential intervention points (before, during and after participation), which can be used to guide project design.

Original languageEnglish (US)
Title of host publicationProceedings - 7th IEEE International Conference on e-Science Workshops, eScienceW 2011
Pages14-19
Number of pages6
DOIs
StatePublished - Dec 1 2011
Event7th IEEE International Conference on e-Science Workshops, eScienceW 201 - Stockholm, Sweden
Duration: Dec 5 2011Dec 8 2011

Publication series

NameProceedings - 7th IEEE International Conference on e-Science Workshops, eScienceW 2011

Other

Other7th IEEE International Conference on e-Science Workshops, eScienceW 201
CountrySweden
CityStockholm
Period12/5/1112/8/11

Keywords

  • citizen science
  • data quality
  • data validation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Management Science and Operations Research

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    Wiggins, A., Newman, G., Stevenson, R. D., & Crowston, K. (2011). Mechanisms for data quality and validation in citizen science. In Proceedings - 7th IEEE International Conference on e-Science Workshops, eScienceW 2011 (pp. 14-19). [6130725] (Proceedings - 7th IEEE International Conference on e-Science Workshops, eScienceW 2011). https://doi.org/10.1109/eScienceW.2011.27