休斯顿大学图书馆ETD元数据修复案例研究

IF 0.6 4区管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE

Library Resources & Technical Services Pub Date : 2019-01-01 DOI:10.5860/LRTS.63N1.62

Santi Thompson, Xiping Liu, Albert Duran, Anne M. Washington

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引用次数: 5

摘要

本文以休斯顿大学图书馆的电子论文元数据修复为例进行了研究。作者概述了该团队在修订其机构存储库中现有ETD元数据方面所做的努力，这是他们将ETD记录与《德克萨斯数字图书馆电子论文和学位论文描述性元数据指南2.0版》(TDL指南，版本2)保持一致的承诺的一部分。注意到他们的案例研究如何添加了ETD元数据修复的第一个文档案例之一。描述了元数据升级过程，并密切关注为完成修复而开发的工具和工作流。作者在论文的最后讨论了经验教训、项目的局限性、未来计划以及元数据修复工作的新需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Case Study of ETD Metadata Remediation at the University of Houston Libraries

This paper provides a case study on remediating electronic theses and dissertations (ETD) metadata at the University of Houston Libraries. The authors provide an overview of the team’s efforts to revise existing ETD metadata in its institutional repository as part of their commitment to aligning ETD records with the Texas Digital Library Descriptive Metadata Guidelines for Electronic Theses and Dissertations, Version 2.0 (TDL guidelines, version 2). The paper reviews the existing literature on metadata quality and ETD metadata practices, noting how their case study adds one of the first documented cases of ETD metadata remediation. The metadata upgrade process is described, with close attention to the tools and workflows developed to complete the remediation. The authors conclude the paper with a discussion of lessons learned, the project’s limitations, future plans, and the emerging needs of metadata remediation work.

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来源期刊

Library Resources & Technical Services INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

0.90

自引率

20.00%

发文量

期刊介绍： Library Resources & Technical Services (LRTS) is a peer-reviewed journal that takes a critical approach to the questions and challenges facing librarians and libraries with regard to: Collections Scholarly communication Preservation (including digitization) Acquisitions (including licensing and economic aspects of acquisitions) Continuing resources Cataloging (including descriptive metadata, authority control, subject analysis, and classification)