图书馆杂志

图书馆杂志 ›› 2022, Vol. 41 ›› Issue (3): 11-17.

• 理论探索 • 上一篇    下一篇

用户参与的“一带一路”经济管理专题数据库资源采选标准体系构建

司 莉 周 璟(武汉大学信息管理学院)   

  • 出版日期:2022-03-15 发布日期:2022-03-21
  • 作者简介:司 莉 女,武汉大学信息管理学院,教授,博士, 博士研究生导师。研究方向:知识组织。作者贡献: 确定选题,提出研究思路和框架,设计研究方案,论文 修改。E-mail:lsiwhu@163.com 湖北武汉 430072 周 璟 女,武汉大学信息管理学院,博士研究生。 研究方向:知识组织。作者贡献:调查数据处

Criteria System for Resource Collection and Selection of the“Belt and Road”Economic Management Database with User Participation

Si Li, Zhou Jing (School of Information Management, Wuhan University)   

  • Online:2022-03-15 Published:2022-03-21
  • About author:Si Li, Zhou Jing (School of Information Management, Wuhan University)

摘要: 数据库资源采选标准是保证专题数据库资源质量,满足用户需求,实现资源共享的前提。
在调研现行数字资源采选标准的基础上,以开放协调、需求导向、用户参与为建立原则,构建了
“一带一路”经济管理专题数据库资源采选标准体系,使用专家访谈法对本标准体系进行修正和补
充,采用问卷调查法分别开展用户和专家权重调查,计算指标权重。最终得到包含5 个一级维度、
16 个二级指标、19 个三级指标的资源采选标准体系,其中一级维度包括资源契合、资源质量、资
源成本、资源管理和资源风险。该资源采选标准为“一带一路”经济管理专题数据库建设提供资
源选择与评价的依据和指南,有利于提升资源采选工作的质量和效率。

Abstract: Standard database resource collection and selection criteria are the prerequisite for ensuring
the quality of thematic database resources, meeting user needs, and realizing resource sharing. On
the basis of investigating the current digital resource selection standards, and with open coordination,
demand orientation, and user participation as the establishment principles, the “Belt and Road” economic
management database resource collection and selection criteria system is constructed. The expert
interviews are used to revise this criteria system, and the questionnaires condcuted to investigate experts
and users, so as to calculate the indicator weights. Finally, a resource selection standard system containing
5 first-level dimensions, 16 second-level indicators, and 19 third-level indicators is established. The firstlevel
dimensions include resource fit, resource quality, resource cost, resource management and resource
risk. This resource selection standard provides a basis and guidance for resource selection and evaluation
for the construction of the “Belt and Road” economic management database, which is conducive to
improving the quality and efficiency of resource selection.