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

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

doi:https://doi.org/10.5194/gc-3-109-2020

Articles | Volume 3, issue 1

https://doi.org/10.5194/gc-3-109-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gc-3-109-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Supplement

https://doi.org/10.5194/gc-3-109-2020-supplement

Data sets

CrowdWater game training study B. Strobl, S. Etter, I. H. J. van Meerveld, and J. Seibert https://doi.org/10.5281/zenodo.3538008

Download

Article (5099 KB)
Full-text XML

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.