2019
DOI: 10.1080/15265161.2019.1619862
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Challenges of Citizen Science: Commons, Incentives, Organizations, and Regulations

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Cited by 11 publications
(9 citation statements)
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“…Data quality and recognition by the scientific community are also challenges facing CS (Turrini et al, 2018). Data quality may be compromised by poor project design, varying data quality standards, non-experts' lack of commitment and skills, deliberate provision of fabricated data, and others (Balázs et al, 2021;Weber et al, 2019). Still, project elements and digital platforms can be designed to avoid, detect, and correct data issues (Kosmala et al, 2016;San Llorente Capdevila et al, 2020;Kasten et al, 2021).…”
Section: The Role Of Technology In Cs Projectsmentioning
confidence: 99%
“…Data quality and recognition by the scientific community are also challenges facing CS (Turrini et al, 2018). Data quality may be compromised by poor project design, varying data quality standards, non-experts' lack of commitment and skills, deliberate provision of fabricated data, and others (Balázs et al, 2021;Weber et al, 2019). Still, project elements and digital platforms can be designed to avoid, detect, and correct data issues (Kosmala et al, 2016;San Llorente Capdevila et al, 2020;Kasten et al, 2021).…”
Section: The Role Of Technology In Cs Projectsmentioning
confidence: 99%
“…While the technology that facilitates citizen science is mature with ready-to-use equipment and software broadly used across diverse disciplines (Blöschl et al, 2019, Mazzoleni et al, 2017, Tauro et al, 2018, Wan et al, 2014, standardization procedures are not. New policies are also needed that recognize citizen science as a cross-cutting priority, to support and regulate opportunistic sensing and unstructured information gathering, sharing and use (Palsson et al, 2013, Weber et al, 2019, Wehn et al, 2015.…”
Section: Citizen Science To Achieve Transdisciplinarity In Hydrologicmentioning
confidence: 99%
“…to the knowledge commons (Hess and Ostrom 2007) since the beginning of the twenty-first century, specifically, to scientific knowledge (Vermeir 2013;Irzik 2013). This includes collaborative methodologies, for example, data production in citizen science projects (Weber et al 2019) and data analysis in online citizen science projects (Madison 2014).…”
Section: Citizen Science and The Commons: Old And Entangled Conceptsmentioning
confidence: 99%