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图书情报工作 ›› 2018, Vol. 62 ›› Issue (4): 28-36.DOI: 10.13266/j.issn.0252-3116.2018.04.004

• 理论研究 • 上一篇    下一篇

面向知识创新的科研团队数据能力模型构建研究

杜杏叶1,2, 李贺1, 李卓卓3   

  1. 1. 吉林大学管理学院 长春 130022;
    2. 中国科学院文献情报中心 北京 100190;
    3. 苏州大学社会学院档案与电子政务系 苏州 215123
  • 收稿日期:2017-10-30 修回日期:2017-12-21 出版日期:2018-02-20 发布日期:2018-02-20
  • 作者简介:杜杏叶(ORCID:0000-0001-5016-0561),副研究馆员,副编审,博士研究生,E-mail:duxy@mail.las.ac.cn;李贺(ORCID:0000-0001-8847-3619),教授,博士生导师;李卓卓(ORCID:0000-0002-3022-5652),副教授,博士.

Research on Data Capability Model Construction of Scientific Research Team Facing Knowledge Innovation

Du Xingye1,2, Li He1, Li Zhuozhuo3   

  1. 1. Management College, Jilin University, Changchun 130022;
    2. National Science Library, CAS, Beijing 100190;
    3. Department of Archive and e-Government, School of Social Science, Soochow University, Suzhou 215123
  • Received:2017-10-30 Revised:2017-12-21 Online:2018-02-20 Published:2018-02-20

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摘要： [目的/意义] 研究数据密集型科研环境下影响科研团队知识创新的核心要素，提出促进知识创新的科研团队数据能力模型，并对能力中的因素进行能力识别。[方法/过程]通过文献调研，对传统环境下的科研团队知识创新能力的研究维度进行总结，分析数据密集型环境下科学迅速发展所形成的科研环境，提出在新环境下科研团队数据能力的6个维度及其要考虑的因素，构建以促进团队知识创新能力为目的的科研团队数据能力模型。[结果/结论]数据密集型环境下，科研团队数据能力包括科研团队的数据意识，基于数据意识的科研团队的数据检索和数据发现能力，组织、整合和管理数据的能力，描述和保存数据的能力，分析、利用数据并从数据中发现知识和规律的能力，数据辨析和评价能力。这些能力从知识发现、知识管理、知识整合、知识分享、知识评价等方面促进了科研团队的知识创新。

关键词: 数据密集型科研团队, 知识创新, 数据能力, 数据素养

Abstract: [Purpose/significance] This paper studies the core elements of knowledge innovation in research teams under data intensive research environment, and proposes a data capability model for knowledge innovation of research teams, identifying the ability structure in the ability factors. [Method/process] Through literature review, this paper summarizes the research dimensions of knowledge innovation capability of scientific research teams in traditional environment, analyzes the scientific research environment formed by the rapid development of science in the data intensive environment, sketchs 6 dimensions of the research team in the new environment, and then constructs a data capability model to promote the knowledge innovation.[Result/conclusion] The research team needs to have data awareness, data retrieval and data discovery capability, data organization, integration and management capability, data description and storage capability, knowledge and rules analysis from the data capability, data analysis and evaluation capability. These capabilities promote knowledge innovation in research teams in the form of stimulating knowledge discovery, knowledge management, knowledge integration, knowledge sharing and knowledge evaluation.

Key words: data intensive research team, knowledge innovation, data capability, data literacy

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