The dual nature of trust in participatory science: An investigation into data quality and household privacy preferences

There is a duality of trust in participatory science (citizen science) projects in which the data produced by volunteers must be trusted by the scientific community and participants must trust the scientists who lead projects. Facilitator organizations can diversify recruitment and broaden learning outcomes. We investigated the degree to which they can broker trust in participatory science projects. In Crowd the Tap, we recruited participants through partnerships with facilitators, including high schools, faith communities, universities, and a corporate volunteer program. We compared data quality (a proxy for scientists’ trust in the project) and participant privacy preferences (a proxy for participants’ trust in the project leaders) across the various facilitators as well as to those who came to the project independently (unfacilitated). In general, we found that data quality differed based on the project’s level of investment in the facilitation partner in terms of both time and money..., The data was collected through an IRB approved survey in which Crowd the Tap participants submitted data on the types of pipes they had, the age of their home, water aesthetics, and demographic information. As part of this process, participants also indicated if they came to the project through a partner organization (what we call facilitator organizations). Using the data available to us, we determined how completely, accurately, and informatively (understandability) they participated in the project to assess data quality. We also asked if they had interest in being publically associated with the project or if they referred to remain private. We used this and the number of times they selected \"Prefer not to say\" as indicators of privacy. We compared data quality and privacy preferences to the facilitator organization through which they came to the project. , , # Data from: The dual nature of trust in participatory science: An investigation into data quality and household privacy preferences The dataset contains data on participation in Crowd the Tap, a large-scale participatory science (citizen science) project focused on identifying and addressing lead contamination in household drinking water. The project crowdsources information on plumbing materials, age of home, water aesthetics, and demographic data to learn more about the geographic spread of lead plumbing and social and environmental correlates to lead plumbing. We investigated how data quality (completeness, accuracy, and understandability) and participant privacy (whether or not they select to be public or private, the number times they select “prefer not to say”) preferences differed by facilitators. Data quality relates to scientists’ trust in the project, and privacy relates to the trust that participants have in the project leadership team. As participatory science projects inc...公众参与式科学（participatory science，又称公民科学citizen science）项目中存在双重信任维度：志愿者产出的数据需获得科学界的认可，而参与者也需信任项目负责人团队。协作组织可丰富招募渠道、拓展学习成果。本研究聚焦于协作组织在公众参与式科学项目中如何发挥信任中介作用，探究其对信任构建的影响程度。 在"Crowd the Tap"项目中，我们通过与各类协作组织合作招募参与者，合作方涵盖高中、宗教社区、高校及企业志愿者计划。本研究对比了不同协作组织渠道，以及自主参与（无协作组织支持）的参与者的两类指标：一是数据质量（作为科学界对项目信任度的代理变量），二是参与者隐私偏好（作为参与者对项目负责人信任度的代理变量）。总体而言，研究发现数据质量会因项目在协作伙伴身上投入的时间与资金成本而异…… 本研究数据通过机构审查委员会（Institutional Review Board，IRB）批准的调研问卷收集，"Crowd the Tap"项目参与者需提交其住宅水管类型、住宅房龄、水质观感及人口统计学信息。调研过程中，参与者还需说明是否通过合作组织（即本研究定义的协作组织）参与项目。基于现有数据集，我们从参与完整性、准确性及信息有效性（即可理解性）三个维度评估参与者的项目参与表现，以此衡量数据质量。此外，我们还调研了参与者是否愿意公开关联本项目，或是选择保持匿名。结合上述选项的作答情况，以及参与者选择"不愿透露"的次数，作为隐私倾向的衡量指标。最终，我们将数据质量与隐私偏好，与参与者参与项目的协作组织渠道进行关联对比。 # 数据来源：《公众参与式科学中的双重信任：数据质量与家庭隐私偏好研究》 本数据集涵盖"Crowd the Tap"项目的参与数据，该项目为一项聚焦于识别并解决家庭饮用水铅污染问题的大规模公众参与式科学（公民科学citizen science）项目。项目通过众包方式收集住宅水管材质、房龄、水质观感及人口统计学信息，以探究铅水管的地理分布特征，以及铅水管与社会、环境因素的关联。本研究分析了不同协作组织渠道下，数据质量（包含完整性、准确性与可理解性）与参与者隐私偏好（即是否选择公开/匿名、选择"不愿透露"的次数）的差异。其中，数据质量对应科学界对项目的信任程度，隐私偏好则对应参与者对项目管理团队的信任程度。鉴于公众参与式科学项目……