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Collection-level subject access in aggregations of digital collections: Metadata application and use.

机译:数字馆藏集合中的馆藏级别主题访问:元数据应用和使用。

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摘要

Problems in subject access to information organization systems have been under investigation for a long time. Focusing on item-level information discovery and access, researchers have identified a range of subject access problems, including quality and application of metadata, as well as the complexity of user knowledge required for successful subject exploration. While aggregations of digital collections built in the United States and abroad generate collection-level metadata of various levels of granularity and richness, no research has yet focused on the role of collection-level metadata in user interaction with these aggregations. This dissertation research sought to bridge this gap by answering the question "How does collection-level metadata mediate scholarly subject access to aggregated digital collections?" This goal was achieved using three research methods: (1) in-depth comparative content analysis of collection-level metadata in three large-scale aggregations of cultural heritage digital collections: Opening History, American Memory, and The European Library (2) transaction log analysis of user interactions, with Opening History, and (3) interview and observation data on academic historians interacting with two aggregations: Opening History and American Memory.;It was found that subject-based resource discovery is significantly influenced by collection-level metadata richness. The richness includes such components as: 1) describing collection's subject matter with mutually-complementary values in different metadata fields, and 2) a variety of collection properties/characteristics encoded in the free-text Description field, including types and genres of objects in a digital collection, as well as topical, geographic and temporal coverage are the most consistently represented collection characteristics in free-text Description fields.;Analysis of user interactions with aggregations of digital collections yields a number of interesting findings. Item-level user interactions were found to occur more often than collection-level interactions. Collection browse is initiated more often than search, while subject browse (topical and geographic) is used most often. Majority of collection search queries fall within FRBR Group 3 categories: object, concept, and place. Significantly more object, concept, and corporate body searches and less individual person, event and class of persons searches were observed in collection searches than in item searches. While collection search is most often satisfied by Description and/or Subjects collection metadata fields, it would not retrieve a significant proportion of collection records without controlled-vocabulary subject metadata (Temporal Coverage, Geographic Coverage, Subjects, and Objects), and free-text metadata (the Description field). Observation data shows that collection metadata records in Opening History and American Memory aggregations are often viewed. Transaction log data show a high level of engagement with collection metadata records in Opening History, with the total page views for collections more than 4 times greater than item page views. Scholars observed viewing collection records valued descriptive information on provenance, collection size, types of objects, subjects, geographic coverage, and temporal coverage information. They also considered the structured display of collection metadata in Opening History more useful than the alternative approach taken by other aggregations, such as American Memory, which displays only the free-text Description field to the end-user.;The results extend the understanding of the value of collection-level subject metadata, particularly free-text metadata, for the scholarly users of aggregations of digital collections. The analysis of the collection metadata created by three large-scale aggregations provides a better understanding of collection-level metadata application patterns and suggests best practices. This dissertation is also the first empirical research contribution to test the FRBR model as a conceptual and analytic framework for studying collection-level subject access.
机译:主题访问信息组织系统的问题已经长期研究。专注于项目级信息的发现和访问,研究人员确定了一系列主题访问问题,包括元数据的质量和应用以及成功进行主题探索所需的用户知识的复杂性。尽管在美国和国外构建的数字馆藏的聚合生成了粒度和丰富程度各不相同的馆藏级元数据,但还没有研究集中在馆藏级元数据在用户与这些聚合进行交互中的作用。本论文的研究试图通过回答“馆藏级元数据如何调解学术主体对汇总数字馆藏的访问?”这一问题来弥合这一差距。该目标是通过以下三种研究方法实现的:(1)对三个大型文化遗产数字馆藏中的馆藏级元数据进行深入的比较内容分析:开放历史,美国记忆和欧洲图书馆(2)交易日志使用Opening History进行用户交互分析,以及(3)与两个集合(Opening History和American Memory)相互作用的学术史学家的访谈和观察数据;发现基于主题的资源发现受到馆藏级元数据丰富性的显着影响。丰富性包括以下组件:1)在不同的元数据字段中以互补充的值描述集合的主题,以及2)在自由文本描述字段中编码的各种集合属性/特征,包括对象的类型和类型在自由文本描述字段中,数字馆藏以及主题,地理和时间范围是最一致地表示的馆藏特征。;通过数字馆藏的聚合来分析用户交互会产生许多有趣的发现。发现项目级别的用户交互比集合级别的交互更频繁地发生。馆藏浏览比搜索启动的频率更高,而主题浏览(主题和地理)的浏览频率最高。集合搜索查询的大多数属于FRBR组3类别:对象,概念和位置。与项目搜索相比,在集合搜索中观察到的对象,概念和公司实体搜索明显更多,而个人,事件和人员类别的搜索更少。尽管描述和/或主题集合元数据字段通常满足集合搜索的要求,但是如果没有受控词汇主题主题元数据(时间范围,地理范围,主题和对象)和自由文本,它将无法检索到很大比例的集合记录。元数据(“描述”字段)。观察数据显示,经常查看“开放历史记录”和“美国记忆”聚合中的集合元数据记录。事务日志数据显示了“开放历史记录”中与集合元数据记录的高度互动,集合的总页面浏览量是项目页面浏览量的4倍以上。学者观察到查看收集记录,这些记录记录了有关来源,收集规模,物体类型,主题,地理覆盖范围和时间覆盖范围信息的描述性信息。他们还认为,“开放历史记录”中的集合元数据的结构化显示比其他聚合(例如American Memory)所采用的替代方法更有用,后者仅向最终用户显示自由文本Description字段。馆藏级别主题元数据(尤其是自由文本元数据)对于数字馆藏集合的学术用户的价值。对由三个大型聚合创建的集合元数据的分析可以更好地理解集合级元数据应用程序模式并提出最佳实践。本论文也是对FRBR模型进行测试的第一个实证研究成果,该FRBR模型是用于研究馆藏级主题访问的概念和分析框架。

著录项

  • 作者

    Zavalina, Oksana Lvivna.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Library Science.;Web Studies.;Information Science.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 193 p.
  • 总页数 193
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:27

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