图书情报工作 ›› 2018, Vol. 62 ›› Issue (24): 87-92.DOI: 10.13266/j.issn.0252-3116.2018.24.012

• 工作研究 • 上一篇    下一篇

数据驱动的精准化文史学科服务探索与实践——以北京师范大学文史学科服务为例

李书宁   

  1. 北京师范大学图书馆 北京 100875
  • 收稿日期:2018-06-25 修回日期:2018-08-08 出版日期:2018-12-20 发布日期:2018-12-20
  • 作者简介:李书宁(ORCID:0000-0002-8097-3747),研究部主任兼馆长办公室副主任,副研究馆员,博士,硕士生导师,E-mail:lisn@bnu.edu.cn。
  • 基金资助:
    本文系教育部人文社会科学研究规划基金项目"数据驱动的图书馆精细化服务模式与保障机制研究"(项目编号:17YJA870011)和北京高校图书馆研究基金项目"数据驱动的文史学科精准化学科服务策略研究"(项目编号:BGT2016003)研究成果之一。

Exploration and Practice of Data-driven Precision Subject Service of History and Literature——A Case Study in Subject Service of Literature and History in Beijing Normal University

Li Shuning   

  1. Beijing Normal University Library, Beijing 100875
  • Received:2018-06-25 Revised:2018-08-08 Online:2018-12-20 Published:2018-12-20

摘要: [目的/意义]借助于数据驱动决策的相关理论和方法进行文史学科精准化服务探索。[方法/过程]参考数据驱动决策相关理论和文史学科精准化服务的需求,搭建数据驱动的服务实施框架,系统收集图书借阅数据、门禁数据、研究成果数据、问卷调查数据、用户咨询数据、意见反馈数据等,通过数据分析结果指导学科服务实践。[结果/结论]经过数据分析获得学科忠诚用户和关键用户,了解文史学科用户的文献利用行为特点和需求,找到学科服务开创期要解决的关键问题及用户对教学、科研、管理支持的方面需要,并以此为依据提出精准化学科服务策略。

关键词: 数据驱动决策, 学科服务, 文史学科

Abstract: [Purpose/significance] With the help of relevant theories and methods of data-driven decision making, this paper explores the precision subject service of literature and history.[Method/process] According to data-driven decision making related theory and the demand for precision subject services of literature and history, a data-driven service implementation framework is built. This paper systematically collects library lending data, entrance data, research results data, questionnaire survey data, user consultation data, and feedback data and so on. Through data analysis, it guides the practice of the subject service.[Result/conclusion] Through data analysis, we get the loyal users and key users, understand the characteristics and requirements of the use of literature and history users, and find the key problems to be solved at the beginning of the subject service and the needs of the users on the teaching and scientific research, and on the basis of this, precision subject service strategy is introduced.

Key words: data-driven decision making, subject service, literature and history

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