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  • The eBird enterprise: An in...
    Sullivan, Brian L.; Aycrigg, Jocelyn L.; Barry, Jessie H.; Bonney, Rick E.; Bruns, Nicholas; Cooper, Caren B.; Damoulas, Theo; Dhondt, André A.; Dietterich, Tom; Farnsworth, Andrew; Fink, Daniel; Fitzpatrick, John W.; Fredericks, Thomas; Gerbracht, Jeff; Gomes, Carla; Hochachka, Wesley M.; Iliff, Marshall J.; Lagoze, Carl; La Sorte, Frank A.; Merrifield, Matthew; Morris, Will; Phillips, Tina B.; Reynolds, Mark; Rodewald, Amanda D.; Rosenberg, Kenneth V.; Trautmann, Nancy M.; Wiggins, Andrea; Winkler, David W.; Wong, Weng-Keen; Wood, Christopher L.; Yu, Jun; Kelling, Steve

    Biological conservation, January 2014, 2014, 2014-01-00, Letnik: 169
    Journal Article

    •eBird is a rapidly evolving citizen-science project that meets the needs of a broad user community.•We are developing a novel approach to citizen science based on interdisciplinary collaboration.•We have successfully increased data quantity, while maintaining rigorous data quality.•eBird is a major source of avian biodiversity data, now being used across many disciplines.•Feedback and communication from all aspects of the eBird enterprise improve the project’s success. Citizen-science projects engage volunteers to gather or process data to address scientific questions. But citizen-science projects vary in their ability to contribute usefully for science, conservation, or public policy. eBird has evolved from a basic citizen-science project into a collective enterprise, taking a novel approach to citizen science by developing cooperative partnerships among experts in a wide range of fields: population and distributions, conservation biologists, quantitative ecologists, statisticians, computer scientists, GIS and informatics specialists, application developers, and data administrators. The goal is to increase data quantity through participant recruitment and engagement, but also to quantify and control for data quality issues such as observer variability, imperfect detection of species, and both spatial and temporal bias in data collection. Advances at the interface among ecology, statistics, and computer science allow us to create new species distribution models that provide accurate estimates across broad spatial and temporal scales with extremely detailed resolution. eBird data are openly available and used by a broad spectrum of students, teachers, scientists, NGOs, government agencies, land managers, and policy makers. Feedback from this broad data use community helps identify development priorities. As a result, eBird has become a major source of biodiversity data, increasing our knowledge of the dynamics of species distributions, and having a direct impact on the conservation of birds and their habitats.