You are here
Tuning the Citizen Science “Instrument” for Gathering Data While Documenting Data Quality
Yurong He is a Ph.D. candidate at the University of Maryland iSchool and Human-Computer Interaction Lab. She is also a research assistant working for the Biotracker project (http://biotracker.umd.edu/). Her research focuses on studying the collaborative effort between scientists and citizen scientists in advancing the knowledge of biodiversity in online environment. In her spare time, she enjoys spending time in nature and having delicious food with her family and friends.
Citizen science is a novel “instrument” that can gather data unavailable to scientists using traditional methods. Recent advances in internet technologies and mobile computing are accelerating the possibilities to engage the public in participating in scientific research. Projects such as eBird and CoCoRaHS are providing data that is proving exceptionally to scientists. Nevertheless both the scientific community and the public remain skeptical about the quality of citizen science data because citizens by definition are not “certified” scientists. To overcome this hurdle citizen science projects use variety of approaches to improve and document data quality. The candidate will mine the web and use a literature review process (perhaps combined with web surveys and/or personal interviews) to document citizen participation, data collection procedures, and analysis tasks undertaken by citizens. Building on the efforts of Wiggins et al 2011 (Mechanisms for Data Quality and Validation in Citizen Science), the candidate will document methods to improve and document data quality. One goal will be to define data models and data quality models that can guide citizen science projects in the future. A second goal will be to better understand and define the essential tension between improving the data quality (having citizens work like scientists) and keeping the citizens engaged in the project.