农业图书情报学报 ›› 2020, Vol. 32 ›› Issue (1): 23-29.doi: 10.13998/j.cnki.issn1002-1248.2019.10.19-0301

• 研究论文 • 上一篇    下一篇

科学数据能力研究:内涵、框架和影响因素

迟玉琢   

  1. 黑龙江大学信息管理学院,哈尔滨 150080
  • 收稿日期:2019-04-12 出版日期:2020-01-05 发布日期:2020-01-21
  • 作者简介:迟玉琢(1982-),女,ORCID:0000-0001-9014-2317,黑龙江大学信息管理学院,讲师,博士,硕士生导师,研究方向:信息分析与情报服务。
  • 基金资助:
    黑龙江省教育科学“十三五规划”课题“面向安全领域的情报专业人才培养模式研究”(项目编号:GJC1318077); 黑龙江大学研究生教改项目“总体国家安全观背景下的情报学研究生培养模式”(项目编号:JGXM_YJS_2018033)

Literature Review of Scientific Data Competence: the Connotation, Framework and Influencing Factors

CHI Yuzhuo   

  1. Information Management College of Heilongjiang University, Harbin 150080
  • Received:2019-04-12 Online:2020-01-05 Published:2020-01-21

摘要: [目的/意义]作为研究科学数据能力评价和提升的基础,需要了解并厘清科学数据能力的内涵、科学数据能力框架体系以及科学数据能力水平影响因素的研究情况。[方法/过程]笔者采用文献研究方法,利用国内外数据库和搜索引擎搜集相关主题文献,整理并分析科学数据能力内涵、表现维度、能力框架以及影响因素4个方面的研究进展。[结果/结论]科学数据能力内涵的研究内容比较丰富,国内外认知基本达成一致;代表性的科学数据能力框架体系面向科学数据行为过程,在科学数据意识、科学数据知识、科学数据技能、科学数据伦理方面提出要求,一级指标存在较多的重合,指标粒度上各有侧重;科学数据能力受到科学数据行为主体主观因素、科学数据质量、科学数据文化和科学数据标准规范的影响。科学数据能力研究需进一步进行理论整合,从完善数据密集型科研环境的视角,采用实证方法,进一步探究科学数据能力影响因素问题。

关键词: 科学数据能力, 数据素养, 影响因素

Abstract: [Purpose/Significance] As the basis of the evaluation and promotion of scientific data competence, it is necessary to clarify the research situation of the connotation, the framework systems and the influencing factors of scientific data competence. [Method/Process] This study uses literature research methods to collect data from both Chinese and international databases, and analyzes the research progress in four aspects: the connotation, the performance dimensions, the frameworks and the influencing factors. [Results/Conclusions] Much research has been devoted to the connotation of scientific data competence, and Chinese and international researchers' understandings are basically the same. The representative framework systems of scientific data competence are generally oriented to the process of scientific data behaviors, and put forward requirements on the users in the aspects of scientific data awareness, scientific data knowledge, scientific data skills and scientific data ethics. There are many overlaps in the top level of indicators and different emphasis on the granularity in the sub-level of scientific data frameworks. The scientific data competence is influenced by subjective factors of scientific data users, the quality of scientific data, the culture of scientific data and the standards and norms of scientific data. The research needs further theoretical integration and empirical methods should be used to further explore the influencing factors from the perspective of improving the data-intensive scientific research environment.

Key words: scientific data competence, data literacy, influencing factors

中图分类号: 

  • G252.7

引用本文

迟玉琢. 科学数据能力研究:内涵、框架和影响因素[J]. 农业图书情报学报, 2020, 32(1): 23-29.

CHI Yuzhuo. Literature Review of Scientific Data Competence: the Connotation, Framework and Influencing Factors[J]. Journal of Library and Information Science in Agriculture, 2020, 32(1): 23-29.