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Visualizing natural history collection data provides insight into collection development and bias

机译:可视化自然历史采集数据可洞悉采集的发展和偏差

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摘要

Natural history collections contain estimated billions of records representing a large body of knowledge about the diversity and distribution of life on Earth. Assessments of various forms of bias within the aggregated data associated with specimens in these collections have been conducted across temporal, taxonomic, and spatial domains. Considering that these biases are the sum of biases across all contributing collections to aggregate datasets, the assessment of bias at the collection level is warranted. Interactive visualization provides a powerful tool for the assessment of these biases and insight into the historical development of natural history collections, providing context for where sources of bias may originate and developing historical narratives to clarify our understanding of our own knowledge about life on Earth. Here, I present a case study on using Sankey diagrams to illustrate the development of the entomology type collection at the Academy of Natural Sciences of Drexel University in Philadelphia, Pennsylvania with the hope that extensions of these practices among individual natural history collections are modified and adopted.
机译:自然历史记录包含数十亿条记录,这些记录代表了有关地球上生命的多样性和分布的大量知识。已在时间,分类和空间领域对与这些集合中的标本关联的汇总数据中的各种形式的偏差进行了评估。考虑到这些偏差是所有贡献集合对汇总数据集的偏差的总和,因此有必要在集合级别评估偏差。交互式可视化为评估这些偏见和洞察自然历史收藏的历史发展提供了一个强大的工具,为偏见的根源可能产生的背景提供了背景,并发展了历史叙事来阐明我们对地球生命的认识。在这里,我将介绍一个使用Sankey图表的案例研究,以说明宾夕法尼亚州费城德雷克塞尔大学自然科学学院昆虫学类型收藏的发展,希望这些实践在个人自然历史收藏中的扩展得到修改和采用。

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