Mapping Life – Quality Assessment of Novice vs. Expert Georeferencers
Autor: | Michael H. Doosey, Dean K. Jue, Gil Nelson, Henry L. Bart, Austin Mast, Justin G. Mann, Nelson Rios, Elizabeth R. Ellwood |
---|---|
Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
Volunteered geographic information natural history collections quality assessment 010504 meteorology & atmospheric sciences Population Library science 010603 evolutionary biology 01 natural sciences Proxy (climate) Biodiversity citizen science ichthyology botany geography taxonomy ecology Citizen science lcsh:Science education Benchmarking biodiversity specimens georeferencing volunteered geographic information Digitization 0105 earth and related environmental sciences education.field_of_study Multidisciplinary Data science Geolocation Geography Specimen collection lcsh:Q |
Zdroj: | Citizen Science: Theory and Practice; Vol 1, No 1 (2016); 4 Citizen Science: Theory and Practice, Vol 1, Iss 1 (2016) |
ISSN: | 2057-4991 |
DOI: | 10.5334/cstp.30 |
Popis: | 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 |
Databáze: | OpenAIRE |
Externí odkaz: |
načítá se...