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Exploring the richness of collection-level subject metadata in three large-scale digital libraries

机译:在三个大型数字图书馆中探索馆藏级主题元数据的丰富性

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摘要

A growing number of digital libraries worldwide are now generating collection-level metadata to describe entire digital collections as integral wholes. This paper reports results of the study that used an in-depth comparative content analysis to assess free-text and controlled-vocabulary collection-level subject metadata in three large-scale digital libraries in the European Union and the USA. As observed by this study, the emerging best practices in creating collection-level subject metadata include: (a) describing collection's subject matter with mutually complementary values in control led-vocabulary and free-text metadata; (b) encoding a variety of collection properties in free-text metadata, including both subject properties (topical, geographic and temporal coverage, and types/genres of objects) and non-subject information: title, size, provenance, collection development, copyright, audience, navigation and functionality, language of items in a digital collection, frequency of additions, institutions that host a collection or contribute to it, funding sources, item creators, importance, uniqueness and comprehensiveness of a digital collection.
机译:现在,全世界越来越多的数字图书馆正在生成馆藏级元数据,以将整个数字馆藏描述为一个整体。本文报告了这项研究的结果,该研究使用深入的比较内容分析来评估欧盟和美国的三个大型数字图书馆中的自由文本和受控词汇收集级别的主题元数据。正如本研究所观察到的,在创建馆藏级主题元数据方面出现的最佳实践包括:(a)在控制主导词汇和自由文本元数据中描述具有互补价值的馆藏主题; (b)在自由文本元数据中编码各种馆藏属性,包括主题属性(主题,地理和时间范围以及对象的类型/类型)和非主题信息:标题,大小,出处,馆藏发展,版权,受众,导航和功能,数字馆藏中的物品语言,添加频率,托管馆藏或对此作出贡献的机构,资金来源,物品创建者,数字馆藏的重要性,独特性和全面性。

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