Articles | Volume 3, issue 1
Research article
08 May 2020
Research article |  | 08 May 2020

Training citizen scientists through an online game developed for data quality control

Barbara Strobl, Simon Etter, H. J. Ilja van Meerveld, and Jan Seibert

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Cited articles

Aceves-Bueno, E., Adeleye, A. S., Feraud, M., Huang, Y., Tao, M., Yang, Y., and Anderson, S. E.: The Accuracy of Citizen Science Data: A Quantitative Review, Bull. Ecol. Soc. Am., 98, 278–290,, 2017. 
Barras, H., Hering, A., Martynov, A., Noti, P.-A., Germann, U., and Martius, O.: Experiences with > 50'000 crowd-sourced hail reports in Switzerland, Am. Meteorol. Soc., 100, 1429–1440,, 2019. 
Bonney, R., Ballard, H., Jordan, R., McCallie, E., Phillips, T., Shirk, J. and Wilderman, C. C.: Public Participation in Scientific Research: Defining the Field and Assessing Its Potential for Informal Science Education, Washington, DC, available at: (last access: 30 April 2020), 2009. 
Bonney, R., Phillips, T. B., Ballard, H. L., and Enck, J. W.: Can citizen science enhance public understanding of science?, Public Underst. Sci., 25, 2–16,, 2016. 
Bonter, D. N. and Cooper, C. B.: Data validation in citizen science: A case study from Project FeederWatch, Front. Ecol. Environ., 10, 305–307,, 2012. 
Short summary
Training can deter people from joining a citizen science project but may be needed to ensure good data quality. In this study, we found that an online game that was originally developed for data quality control in a citizen science project can be used for training as well. These findings are useful for the development of training strategies for other citizen science projects because they indicate that gamified approaches might be valuable scalable training methods.
Final-revised paper