自动填充浏览器扩展:一个用户友好的解决方案，以优化元数据工作流在数字存储库

Q2 Social Sciences

Journal of Library Metadata Pub Date : 2016-01-02 DOI:10.1080/19386389.2016.1167496

Le Yang, Q. Zeng

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引用次数: 0

摘要

面对复杂的元数据环境，在数字存储库中实现优化元数据工作流的策略是一个挑战。运行脚本化的应用程序和批处理会消耗库额外的资源，而不会减少实现元数据的时间。为了提高元数据批处理的效率，作者提出了一个开源的浏览器扩展，可以很容易地安装和执行任何数字存储库。作者还提出了图书馆职业存在的功能固定问题，并鼓励图书馆员寻找解决这些问题的方法，以改进图书馆工作。

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Autofill Browser Extension: A User-Friendly Solution to Optimize Metadata Workflow in Digital Repositories

Facing a complex metadata environment, it is challenging to implement strategies for optimizing metadata workflows in digital repositories. Running scripted applications and batch processing cost libraries additional resources, while not reducing time implementing metadata. In order to improve the efficiency of metadata batch processing, the authors propose an open source browser extension that can easily be installed and executed for any digital repository. The authors also suggest that functional fixedness issues exist in the library profession and encourage librarians to discover solutions to address such issues and to improve library works.

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来源期刊

Journal of Library Metadata Social Sciences-Library and Information Sciences

CiteScore

2.00

自引率

0.00%

发文量