| Title: |
Data-intensive Citizen Science in Taiwan: Overall Practices and Strategies for Data Quality Maintenance |
| Authors: |
Wei Jeng; Chieh-Jen Kan; Pao-Pei Huang; Ching-Shiuan Chen |
| Source: |
Journal of Library and Information Studies, Vol 23, Iss 2, Pp 185-217 (2025) |
| Publisher Information: |
National Taiwan University |
| Publication Year: |
2025 |
| Collection: |
Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: |
citizen science; wikidata; research data; data quality maintenance; fair principles; Bibliography. Library science. Information resources |
| Description: |
This study adopts a mixed-methods approach to systematically examine 127 citizen science projects in Taiwan through content analysis. The analysis identifies each project’s core characteristics, data collection methods, and data types, and evaluates their levels of data openness based on the FAIR Principles (Findability, Accessibility, Interoperability, and Reusability). In addition, the Taiwan Roadkill Observation Network (TaiRON) is used as a representative case, with qualitative interviews conducted to explore its data quality management strategies and the gradual transition process undertaken in response to evolving challenges. The findings reveal that most citizen science projects in Taiwan demonstrate long-term continuity and strong connections to policymaking. Data collection is primarily driven by web applications and social media platforms, fostering diverse mechanisms for maintaining data quality. In the TaiRON case, the project began by encouraging public reporting through social media to broaden participation, and progressively evolved into a more systematic and standardized survey model as data volume and community maturity increased. Furthermore, this study established open metadata for Taiwan’s citizen science projects on Wikidata to enhance their discoverability and reusability. Overall, this research provides a systematic overview of Taiwan’s citizen science landscape and proposes management strategies that balance data quality with openness, thereby supporting research teams and policy agencies in strengthening the contributions of citizen science to sustainable development. (Article content in Chinese with English extended abstract) |
| Document Type: |
article in journal/newspaper |
| Language: |
English; Chinese |
| Relation: |
https://jlis.lis.ntu.edu.tw/files/journal/j61-6.pdf; https://doaj.org/toc/1606-7509; https://doaj.org/article/6e8f0d29e7f045a299219a3f6a30e37c |
| DOI: |
10.6182/jlis.202512_23(2).185 |
| Availability: |
https://doi.org/10.6182/jlis.202512_23(2).185; https://doaj.org/article/6e8f0d29e7f045a299219a3f6a30e37c |
| Accession Number: |
edsbas.35E84D03 |
| Database: |
BASE |