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Article

An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms

Industrial Engineering and Management, School of Engineering Science, LUT University, 53850 Lappeenranta, Finland
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Academic Editors: Gavin McArdle, Bianca Schoen-Phelan and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(7), 434; https://doi.org/10.3390/ijgi10070434
Received: 28 April 2021 / Revised: 13 June 2021 / Accepted: 22 June 2021 / Published: 25 June 2021
(This article belongs to the Special Issue Volunteered Geographic Information and Citizen Science)
The quality of the user-generated content of citizen science platforms has been discussed widely among researchers. Content is categorized into data and information: data is content stored in a database of a citizen science platform, while information is context-dependent content generated by users. Understanding data and information quality characteristics and utilizing them during design improves citizen science platforms’ overall quality. This research investigates the integration of data and information quality characteristics into a citizen science platform for collecting information from the general public with no scientific training in the area where content is collected. The primary goal is to provide a framework for selecting and integrating data and information quality characteristics into the design for improving the content quality on platforms. The design and implementation of a citizen science platform that collects walking path conditions are presented, and the resulting implication is evaluated. The results show that the platform’s content quality can be improved by introducing quality characteristics during the design stage of the citizen science platform. View Full-Text
Keywords: information quality; data quality; citizen science; user-generated content; characteristics of data and information; empirical study information quality; data quality; citizen science; user-generated content; characteristics of data and information; empirical study
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MDPI and ACS Style

Musto, J.; Dahanayake, A. An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms. ISPRS Int. J. Geo-Inf. 2021, 10, 434. https://doi.org/10.3390/ijgi10070434

AMA Style

Musto J, Dahanayake A. An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms. ISPRS International Journal of Geo-Information. 2021; 10(7):434. https://doi.org/10.3390/ijgi10070434

Chicago/Turabian Style

Musto, Jiri, and Ajantha Dahanayake. 2021. "An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms" ISPRS International Journal of Geo-Information 10, no. 7: 434. https://doi.org/10.3390/ijgi10070434

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