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Elizabeth R. Ellwood; Henry L. Bart, Jr.; Michael H. Doosey; Dean K. Jue; Justin G. Mann; Gil Nelson; Nelson Rios; Austin R. Mast (2016)
Publisher: Ubiquity Press
Journal: Citizen Science: Theory and Practice
Languages: English
Types: Article
Subjects: Q, Benchmarking, Benchmarking; biodiversity specimens; georeferencing; natural history collections; quality assessment; volunteered geographic information, Biodiversity; citizen science; ichthyology; botany; geography; taxonomy; ecology, quality assessment, Science, georeferencing, natural history collections, volunteered geographic information, biodiversity specimens
Identifiers:doi:10.5334/cstp.30
The majority of the world’s billions of biodiversity specimens are tucked away in museum cabinets with only minimal, if any, digital records of the information they contain. Global efforts to digitize specimens are underway, yet the scale of the task is daunting. Fortunately, many activities associated with digitization do not require extensive training and could benefit from the involvement of citizen science participants. However, the quality of the data generated in this way is not well understood. With two experiments presented here, we examine the efficacy of citizen science participants in georeferencing specimen collection localities. In the absence of an online citizen science georeferencing platform and community, students served as a proxy for the larger citizen science population. At Tulane University and Florida State University, undergraduate students and experts used the GEOLocate platform to georeference fish and plant specimen localities, respectively. Our results provide a first-approximation of what can be expected from citizen science participants with minimal georeferencing training as a benchmark for future innovations. After outliers were removed, the range between student and expert georeferenced points was <1.0 to ca. 40.0 km for both the fish and the plant experiments, with an overall mean of 8.3 km and 4.4 km, respectively. Engaging students in the process improved results beyond GEOLocate’s algorithm alone. Calculation of a median point from replicate points improved results further, as did recognition of good georeferencers (e.g., creation of median points contributed by the best 50% of contributors). We provide recommendations for improving accuracy further. We call for the creation of an online citizen science georeferencing platform.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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