The Marmaduke Problem

Kate Topham, J. Chambliss, Justin Wigard, N. Huff
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引用次数: 2

Abstract

Michigan State University (MSU) is home to one of the largest library comics collections in North America, holding over three hundred thousand print comic book titles and artifacts. Inspired by the interdisciplinary opportunity offered by digital humanities practice, a research collaborative linked to the MSU Library Digital Scholarship Lab (DSL) developed a Collections as Data project focused on the Comic Art Collection. This team extracted and cleaned over forty-five thousand MARC records describing comics published in Canada, Mexico, and the United States. The dataset is openly available through a GitLab repository, where the team has shared data visualizations so that scholars and members of the public can explore and interrogate this unique collection. In order to bridge digital humanities with the popular culture legacy ofthe institution, the MSU comics community turned to bibliographic metadata as a new way to leverage the collection for scholarly analysis. In October 2020, the Department of English Graphic Possibilities Research Workshop gathered a group of scholars, librarians, Wikidatians, and enthusiasts for a virtual Wikidata edit-a-thon. This project report will present this event as a case study to discuss how linked open metadata may be used to create knowledge and how community knowledge can, in turn, enrich metadata. We explore not only how our participants utilized the open-access tool Mix’n’match to connect the Comic Art Collection dataset to Wikidata and increase awareness of lesser-known authors and regional publishers missing from OCLC and Library of Congress databases, but how the knowledge of this community in turn revealed issues of authority control.
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马默杜克问题
密歇根州立大学(MSU)是北美最大的漫画图书馆之一,拥有超过30万册印刷漫画书和文物。受数字人文学科实践提供的跨学科机会的启发,与密歇根州立大学图书馆数字奖学金实验室(DSL)相关联的一个研究合作开发了一个专注于漫画艺术收藏的集合数据项目。这个小组提取并清理了45,000多条MARC记录,这些记录描述了在加拿大、墨西哥和美国出版的漫画。数据集通过GitLab存储库公开提供,团队在其中共享数据可视化,以便学者和公众可以探索和询问这个独特的集合。为了将数字人文与该机构的流行文化遗产联系起来,密歇根州立大学漫画社区转向书目元数据,将其作为一种利用馆藏进行学术分析的新方法。2020年10月,英语图形可能性研究研讨会的部门聚集了一群学者、图书馆员、维基人和爱好者,进行了一场虚拟的维基数据编辑马拉松。本项目报告将把这一事件作为案例研究,讨论如何使用链接的开放元数据来创建知识,以及社区知识如何反过来丰富元数据。我们不仅探讨了参与者如何利用开放获取工具Mix 'n 'match将漫画艺术收藏数据集连接到维基数据,并提高OCLC和国会图书馆数据库中缺少的鲜为人知的作者和地区出版商的意识,还探讨了这个社区的知识如何反过来揭示了权威控制问题。
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