An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms
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....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/10/7/434 |
| _version_ | 1827688806895058944 |
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| author | Jiri Musto Ajantha Dahanayake |
| author_facet | Jiri Musto Ajantha Dahanayake |
| author_sort | Jiri Musto |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:04:50Z |
| format | Article |
| id | doaj.art-a8c8922b232841979dff1fa1208563af |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T10:04:50Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-a8c8922b232841979dff1fa1208563af2023-11-22T01:41:15ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-06-0110743410.3390/ijgi10070434An Approach to Improve the Quality of User-Generated Content of Citizen Science PlatformsJiri Musto0Ajantha Dahanayake1Industrial Engineering and Management, School of Engineering Science, LUT University, 53850 Lappeenranta, FinlandIndustrial Engineering and Management, School of Engineering Science, LUT University, 53850 Lappeenranta, FinlandThe 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.https://www.mdpi.com/2220-9964/10/7/434information qualitydata qualitycitizen scienceuser-generated contentcharacteristics of data and informationempirical study |
| spellingShingle | Jiri Musto Ajantha Dahanayake An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms ISPRS International Journal of Geo-Information information quality data quality citizen science user-generated content characteristics of data and information empirical study |
| title | An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms |
| title_full | An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms |
| title_fullStr | An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms |
| title_full_unstemmed | An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms |
| title_short | An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms |
| title_sort | approach to improve the quality of user generated content of citizen science platforms |
| topic | information quality data quality citizen science user-generated content characteristics of data and information empirical study |
| url | https://www.mdpi.com/2220-9964/10/7/434 |
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