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Biodiversity data are really complicated, how do we make sense of them?

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Biodiversity data are really complicated, how do we make sense of them?
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42
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Release Date2023
LanguageEnglish
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Production Year2023
Production PlaceWageningen

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Abstract
Quentin Groom is the lead of the Biodiversity Informatics team at Meise Botanic Garden in Belgium. In this presentation, Quentin wanted to give attendees a sense of biodiversity data, where it comes from, what they want to learn from it, and what the challenges are. He did this in the context of the B-Cubed project (https://doi.org/10.3030/101059592) that aims to contribute to solving some of these challenges and made particular reference to citizen science for the collection of data and the advantages and challenges this presents.
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