Welcome to the interactive web schedule for CitSci2017! For tips on how to navigate this site, visit the "Helpful Info" section. To return to the main Citizen Science Association website, go to: http://citizenscience.org/association/conferences/citsci2017/. All events will be held at the St. Paul RiverCentre unless otherwise noted. PLEASE NOTE: Adding agenda items to your schedule through this app does not sign you up for a session. If an agenda item says "pre-registration required" or charges an additional fee, you need to add the item to your registration through the online registration system (https://citizenscience.member365.com/ then select "manage event registrations"), or stop by the registration desk onsite.
Robert Stevenson - UMass Boston; Greg Newman - CSA Data and Metadata Working Group; Anne Bowser - Woodrow Wilson International Center for Scholars; Caren Cooper - North Carolina State University; Tabitha Graves - United States Geological Survey (USGS); Kyle Copas - Global Biodiversity Information Facility (GBIF); Kris Stepenuck - University of Vermont; Greg Newman - Colorado State University and CitSci.org; Luigi Ceccaroni - 1000001 Labs; Elizabeth Tyson - The Wilson Center
This workshop addresses a fundamental issue in citizen science (CS), “How good are data from citizen science projects and can the data be trusted?” From the point of view of CS practitioners the question is “How can CS projects best communicate their efforts regarding data quality & management to different audiences including participants, data users, funders, scientists, policy- makers, and other projects?” Skeptics argue the scientists undergo years of training and mentoring to learn how to collect data carefully and accurately. Therefore it is not obvious that untrained citizens will be able to collect useful data. In our experience, however, most citizen science programs are aware of the need to attend to data quality. Because of the recent wide adoption of the CS approach, program efforts have been focused on recruiting and engaging participants and building software infrastructure rather than on data quality. Even if citizen science projects have developed data quality assurance and control mechanisms, there are as yet no established procedures to communicate these mechanisms or measurements to others.
Intended Audience: Anyone interested in Data Quality
