2017
DOI: 10.5334/cstp.82
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Contrasting the Views and Actions of Data Collectors and Data Consumers in a Volunteer Water Quality Monitoring Project: Implications for Project Design and Management

Abstract: Data collection or generation is the primary way that the majority of volunteers advance the scientific goals of citizen science projects, but other activities such as data consumption also may influence learning, civic, and conservation outcomes. Project designers and managers balance goals for multiple outcomes and thus need to consider the influence of all project-related activities on outcomes. In a study of the kayak-based Citizen's Water Quality Testing (CWQT) Program in New York City, we compared the ch… Show more

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Cited by 8 publications
(4 citation statements)
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“…Crowdsourcing does not ask the data collectors to define the research questions or to determine the use of the knowledge generated. Without the trust of these communities, the data volunteered by the public will remain incomplete and potentially increase inequities if used to inform emergency decisions about where supplies should go (Cooper et al 2017). Again, scientists define the problem, methodology, and use of the knowledge generated, and across all definitions and types of crowdsourcing, the initiator is almost always a company, institution, or organization-not the crowd or the general public (Estellés-Arolas and González-Ladrón-de-Guevara 2012).…”
Section: Nonparticipationmentioning
confidence: 99%
“…Crowdsourcing does not ask the data collectors to define the research questions or to determine the use of the knowledge generated. Without the trust of these communities, the data volunteered by the public will remain incomplete and potentially increase inequities if used to inform emergency decisions about where supplies should go (Cooper et al 2017). Again, scientists define the problem, methodology, and use of the knowledge generated, and across all definitions and types of crowdsourcing, the initiator is almost always a company, institution, or organization-not the crowd or the general public (Estellés-Arolas and González-Ladrón-de-Guevara 2012).…”
Section: Nonparticipationmentioning
confidence: 99%
“…The aim of citizen science can be understood as supplementing scientific analysis by measurement; for example, increasing detail in place (scale) and time, among others, to enable improved modelling. Many projects are in biodiversity research, such as monitoring bees for the sake of human subsistence, but also other species (Hallow et al, 2015;Cooper et al, 2017). An important supporting strategy in citizen science is building trust and credibility among citizens and among users in science on the quality of the data involved (Freitag et al, 2016).…”
Section: )mentioning
confidence: 99%
“…Communication research shows that opinion leaders-knowledgeable, enthusiastic, well-connected community members-are key in promoting not only brands and products but science as well [59]. Participants in citizen science projects are already highly interested in reaching out to other members of their communities [60]; projects can thus serve as ways of identifying and empowering opinion leaders on issues related to agricultural and food systems. Extension already provides powerful examples of the integration of citizen science and science communication in its combination of on-farm research and field day demonstrations.…”
Section: (B) Opportunity To Leverage Citizen Scientists To Support Local Decision-makingmentioning
confidence: 99%