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

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Final revised paper (published on 08 May 2020)
Supplement to the final revised paper
Preprint (discussion started on 02 Dec 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Training CitSci through online games Review', Anonymous Referee #1, 06 Jan 2020
- AC1: 'Reply to Referee #1', Barbara Strobl, 30 Jan 2020
RC2: 'Reviewer comments to the paper', Anonymous Referee #2, 04 Feb 2020
- AC2: 'Reply to Referee #2', Barbara Strobl, 07 Feb 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by editor) (28 Feb 2020) by Chris King (deceased)

AR by Barbara Strobl on behalf of the Authors (11 Mar 2020) Author's response Manuscript

ED: Publish subject to technical corrections (25 Mar 2020) by Chris King (deceased)

ED: Publish subject to technical corrections (26 Mar 2020) by Sam Illingworth (Executive editor)

AR by Barbara Strobl on behalf of the Authors (01 Apr 2020) Author's response Manuscript

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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.