生产关联数据(LD4P):技术服务转型的多机构方法

Philip E. Schreur
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引用次数: 1

摘要

关联数据生产(LD4P)是六所机构(哥伦比亚大学、康奈尔大学、哈佛大学、国会图书馆、普林斯顿大学和斯坦福大学)之间的一项合作,旨在开始将技术服务生产工作流从一系列以图书馆为中心的数据格式(MARC)过渡到基于关联开放数据(LOD)的工作流程。过渡的第一阶段侧重于开发将元数据作为LOD共同生成的能力,增强BIBFRAME本体以包含学术图书馆必须处理的多种资源格式,以及更广泛的学术图书馆社区的参与,以确保可持续和可扩展的环境。顾名思义,LD4P关注元数据生产的直接需求,如本体覆盖和工作流转换。LD4P合作伙伴的工作将部分基于现有的工具集合,例如美国国会图书馆开发的工具。对这些工具的开发人员的使用和增强请求的周期性反馈将允许基于实际生产环境中的使用对其进行增强。参与的六个机构将重点关注从艺术品到珍本书籍,从制图材料到音乐,从注释到工作流程等各种材料。工具开发和增强也将是该项目的一个关键方面。在该项目的第一阶段结束时(2018年春季),合作伙伴将开发出最小的工具、工作流程和标准,以便在项目的第二阶段开始从MARC到LOD的转换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linked Data for Production (LD4P): a Multi-Institutional Approach to Technical Services Transformation
Linked Data for Production (LD4P) is a collaboration between six institutions (Columbia, Cornell, Harvard, Library of Congress, Princeton, and Stanford) to begin the transition of technical services production workflows from a series of library-centric data formats (MARC) to ones based in Linked Open Data (LOD). This first phase of the transition focuses on the development of the ability to produce metadata as LOD communally, the enhancement of the BIBFRAME ontology to encompass the multiple resource formats that academic libraries must process, and the engagement of the broader academic library community to ensure a sustainable and extensible environment. As its name implies, LD4P focuses on the immediate needs of metadata production such as ontology coverage and workflow transition. The LD4P partners' work will be based, in part, on a collection of tools that currently exist, such as those developed by the Library of Congress. The cyclical feedback of use and enhancement request to the developers of these tools will allow for their enhancement based on use in an actual production environment. The six institutions involved will focus on materials ranging from art to rare books, from cartographic materials to music, from annotations to workflows. Tool development and enhancement will also be a key aspect of the project. By the end of the first phase of this project (Spring 2018), the partners will have the minimal tooling, workflows, and standards developed to begin the transformation from MARC to LOD in Phase 2 of the project.
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