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Digital Libraries that Demonstrate High Levels of Mutual Complementarity in Collection-level Metadata Give a Richer Representation of their Content and Improve Subject Access for Users

机译:在收集级元数据中展示高水平的互补性的数字图书馆给出了他们的内容并改善了用户的主题访问

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摘要

A Review of:Zavalina, O. L. (2013). Complementarity in subject metadata in large-scale digital libraries: A comparative analysis. Cataloging & Classification Quarterly, 52(1), 77-89. http://dx.doi.org/10.1080/01639374.2013.848316AbstractObjective – To determine how well digital library content is represented through free-text and subject headings. Specifically to examine whether a combination of free-text description data and controlled vocabulary is more comprehensive than free-text description data alone in describing digital collections.Design – Qualitative content analysis and complementarity comparison.Setting – Three large scale cultural heritage digital libraries: one in Europe and two in the United States of America. Methods – The researcher retrieved XML files of complete metadata records for two of the digital libraries, while the third library openly exposed its full metadata. The systematic samples obtained for all three libraries enabled qualitative content analysis to uncover how metadata values relate to each other at the collection level. The researcher retrieved 99 collection-level metadata records in total for analysis. The breakdown was 39, 33, and 27 records per digital library. When comparing metadata in the free-text Description metadata element with data in four controlled vocabulary elements, Subject, Geographic Coverage, Temporal Coverage and Object Type, the researcher observed three types of complementarity: one-way, two-way and multiple-complementarity. The author refers to complementarity as “describing a collection’s subject matter with mutually complementary data values in controlled vocabulary and free-text subject metadata elements” (Zavalina, 2013, p. 77). For example, within a Temporal Coverage metadata element the term “19th century” would complement a Description metadata element “1850–1899” in the same record.Main Results – The researcher found a high level of one-way complementarity in the metadata of all three digital libraries. This was mostly demonstrated by free-text data in the Description element complemented by data in the controlled vocabulary elements of Subject, Geographic Coverage, Temporal Coverage, and Object Type. Only one library demonstrated a significant proportion (19%) of redundancy between free-text and controlled vocabulary metadata. An example of redundancy found included a repetition of geographic information in both a Description and Geographic Coverage metadata elements.Conclusion – The author reports high levels of mutual complementarity in the three cultural heritage digital libraries studied. The findings demonstrate that collection-level metadata which includes both free-text and controlled vocabulary is more representative of the intellectual content of the collections and improves subject access for users. The author maintains that there is no standard for collection-level metadata descriptions, and that this research may contribute to best practice guidelines in this area. It is unclear whether the digital libraries studied had written policies in place on how to describe collections and if those policies were adhered to in practice. The author expresses a need for further research to be conducted on collection-level metadata in other domains, such as science and interdisciplinary digital libraries, and on other scales (e.g., regional or state collections) and geographic regions beyond Europe and the United States.
机译:审查:Zavalina,O. L.(2013)。大规模数字图书馆主体元数据的互补性:比较分析。编目与分类季刊,52(1),77-89。 http://dx.do.org/10.1080 / 01639374.2013.848316抽象的目标 - 确定数字图书馆内容如何通过自由文本和主题标题表示。具体来说,检查自由文本描述数据和受控词汇的组合是否比单独的自由文本描述数据更全面地在描述数字集合中。设计 - 定性内容分析和互补性比较。设置 - 三个大规模文化遗产数字图书馆:欧洲和两个在美利坚合众国。方法 - 研究人员检索了两个数字库的完整元数据记录的XML文件,而第三库公开公开了其完整元数据。为所有三个库获得的系统样本使得能够在收集级别揭示元数据值彼此之间的定性内容分析。研究人员在分析中检索了99个集合级元数据记录。故障为39,33和27个数字图书馆记录。比较自由文化中的元数据时与四个受控词汇元素中的数据,主题,地理覆盖,时间覆盖和对象类型,研究人员观察到三种类型的互补性:单向,双向和多互补性。作者指的是“描述集合的主题与受控词汇和自由文本主题元数据元素中的相互互补数据值”(Zavalina,2013,第77页)的互补性。例如,在时间覆盖元数据元素中,“19世纪”术语将在同一记录中补充描述元数据元素“1850-1899”。主要结果 - 研究人员在所有三个数字图书馆的元数据中发现了高水平的单向互补性。这主要是通过在主题,地理覆盖,时间覆盖和对象类型的受控词汇元素中的数据中的描述元素中的自由文本数据演示。只有一个图书馆在自由文本和受控词汇元数据之间展示了冗余的显着比例(19%)。发现的冗余示例包括在描述和地理覆盖元数据元素中重复地理信息。结论 - 作者在研究的三个文化遗产数字图书馆中报道了高水平的互补性。该研究结果表明,包括自由文本和受控词汇的集合级元数据更像是集合的智力内容的代表性,并改善了用户的主题访问。作者认为,没有收集级元数据描述的标准,这项研究可能有助于该领域的最佳实践指南。目前尚不清楚学习的数字图书馆是否有书面政策,用于描述如何描述收集以及这些政策在实践中遵守。作者表示需要进一步研究其他领域的收集级元数据,例如科学和跨学科数字图书馆,以及欧洲和美国超越的其他鳞片(例如,区域或国家收藏)和地理区域。

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    Aoife Lawton;

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  • 年度 2014
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