Using iNaturalist in a Coverboard Protocol to Measure Data Quality: Suggestions for Project Design
Using iNaturalist in a Coverboard Protocol to Measure Data Quality: Suggestions for Project Design
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在 Coverboard 协议中使用 iNaturalist 来衡量数据质量：项目设计建议
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
D. Crocker
中科院分区：
文献类型：
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作者：
Julie Wittmann;D. Girman;D. Crocker
我们评估了公民科学家参与者使用iNaturist在盖板抽样方案中生成的数据记录的准确性，这是一种检测两栖动物和爬行动物的常见方法，涉及17种两栖和爬行动物。我们在美国加利福尼亚州索诺马县的一个研究地点对10名志愿者进行了为期8个月的培训和观察。志愿者总共成功地将1169个观察结果上传到了iNaturist数据库，其中包括一个新的黑蜥蜴栖息地。志愿者通常在收集和上传数据以供验证方面较为成功，但在发现较小的伪装蜥蜴和拍摄快速移动的蜥蜴方面遇到了更大的困难。通过志愿者体验，与上传智能手机数据相关的错误减少了。我们对所有的观察结果进行了评估，并根据照片确定了82%的物种水平。45%的观察者使用他们的众包工具达到了iNaturist的“研究级”质量。我们独立评估了研究级观测的众包准确性，发现它们在物种水平上是100%准确的。各种因素(两栖动物群、物种、照片质量)在决定观察是否被提升到研究级别方面发挥了作用。志愿者筛选和培训协议强调具有适当电池和数据存储容量的智能手机消除了一些问题。我们的结果表明，各种因素可以帮助科学家和资源管理人员改善公民科学生物多样性项目中数据的体验和质量。
We evaluated the accuracy of data records generated by citizen scientist participants using iNaturalist in a coverboard sampling scheme, a common method to detect herpetofauna, involving 17 species of amphibians and reptiles. We trained and observed 10 volunteers working over an eight-month period at a study site in Sonoma County, California, USA. A total number of 1,169 observations were successfully uploaded to the iNaturalist database by volunteers including a new locality for Black Salamander. Volunteers were generally successful in collecting and uploading data for verification but had more difficulties detecting smaller, camouflaged salamanders and photographing quick-moving lizards. Errors associated with uploading smartphone data were reduced with volunteer experience. We evaluated all observations and determined that 82% could be verified to the species level based on the photograph. Forty-five percent of the observations made it to the iNaturalist “research grade” quality using their crowdsourcing tools. Independently we evaluated the crowdsourcing accuracy of the research grade observations and found them to be 100% accurate to the species level. A variety of factors (herpetofauna group, species, photograph quality) played a role in determining whether observations were elevated to research grade. Volunteer screening and training protocols emphasizing smartphones that have appropriate battery and data storage capacity eliminated some issues. Our results suggest that a variety of factors can help scientists and resource managers improve the experiences and quality of the data in citizen science biodiversity programs.