混乱的数据库:承认誊写者是专家,让业余博物学家参与数字化工作

IF 1 4区 社会学 0 HUMANITIES, MULTIDISCIPLINARY Curator: The Museum Journal Pub Date : 2024-02-28 DOI:10.1111/cura.12616
Nathan Edward Charles Smith
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引用次数: 0

摘要

业余博物学家和自然历史协会遍布英国乃至全球各地,与博物馆部门关系密切。重要的是,业余博物学家和自然历史协会往往在博物馆服务不足的领域拥有专业知识,如分类学或自然历史的地方史。在博物馆的背景下,业余博物学家既是志愿者又是专家,这种对立可能会导致博物学家与博物馆之间的专业关系紧张。大众参与的公民科学和数字化项目的兴起可能会进一步加剧这种紧张关系,因为博物学家可能会感到自己被边缘化,因为他们的 "志愿者 "身份已经取代了 "专家 "身份。本文推荐了与业余博物学家和自然历史协会合作的最佳做法。本文探讨了博物馆专业人员和博物学家普遍持有的不同价值体系和优先事项,尤其关注数字化问题。本文还建议博物馆领域在与博物学家和其他专家志愿者合作时,如何努力实现更加公平的知识建设和共享实践。特别是,本文提出了 "混乱数据库 "的概念,以此作为与志愿者专家进行有意义合作的一种方式。
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Messy databases: Recognizing transcribers as experts and engaging amateur naturalists in digitization

Amateur naturalists and natural history societies are abundant throughout the UK, and indeed throughout the globe, and have intimate relationships with the museum sector. Importantly, amateur naturalists and natural history societies often possess expertise in fields underserved by museums, such as taxonomy or the local history of natural history. The amateur naturalist, in the context of the museum, is simultaneously volunteer and expert and this dichotomy can lead to tension in the naturalist-museum professional relationship. The rise of mass-participation citizen science and digitization projects are likely to further enflame this tension as naturalists can feel marginalized as their identifier of “volunteer” subsumes that of “expert.” This paper recommends best practice when working with amateur naturalists and natural history societies. It examines the different value systems and priorities broadly held by museum professionals and naturalists, with a particular focus on digitization. This paper also suggests how the museum field can work toward more equitable knowledge building and sharing practices when working with naturalists and other expert-volunteers. In particular, it puts forward the concept of messy databases as a way to meaningfully engage with volunteer-experts.

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来源期刊
Curator: The Museum Journal
Curator: The Museum Journal HUMANITIES, MULTIDISCIPLINARY-
CiteScore
1.70
自引率
10.00%
发文量
63
期刊最新文献
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