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doi: 10.3897/biss.3.46670
Since 2008, iNaturalist has been crowdsourcing identifications for biodiversity observations collected by citizen scientists. Today iNaturalist has over 25 million records of wild biodiversity with photo or audio evidence, from every country, representing more than 230,000 species, collected by over 700,000 people, and with 90,000 people helping others with identifications. Hundreds of publications have used iNaturalist data to advance research, conservation, and policy. There are three key themes that iNaturalist has embraced: social interaction; shareability of data, tools, and code; and scalability of the platform and community. The keynote will share reflections on what has (and has not) worked for iNaturalist while drawing on other examples from biodiversity informatics and citizen science. Insights about user motivations, synergistic collaborations, and strategic decisions about scaling offer some transferable approaches to address the broadly applicable questions: Which species is represented? How do we make the best use of the available biodiversity information? And how do we build something viable and enduring in the process?
social networks, occurrence records, citizen science, scaling, data use, data quality, crowdsourcing
social networks, occurrence records, citizen science, scaling, data use, data quality, crowdsourcing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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