期刊文献+

科学数据能力研究:内涵、框架和影响因素 被引量:9

Literature Review of Scientific Data Competence:the Connotation,Framework and Influencing Factors
下载PDF
导出
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。 [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 de voted 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.
作者 迟玉琢 CHI Yuzhuo(Information Management College of Heilongjiang University,Harbin 150080)
出处 《农业图书情报学报》 2020年第1期23-29,共7页 Journal of Library and Information Science in Agriculture
基金 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)。
关键词 科学数据能力 数据素养 影响因素 scientific data competence data literacy influencing factors
  • 相关文献

参考文献12

二级参考文献250

  • 1李智晔.大学生网络信息素养的培养机制与方法[J].情报科学,2005,23(5):678-681. 被引量:44
  • 2陈传夫,曾明.科学数据完全与公开获取政策及其借鉴意义[J].图书馆论坛,2006,26(2):1-5. 被引量:22
  • 3袁卫,庞皓,曾五一.统计学[M].2版.北京:高等教育出版社,2005:257-258.
  • 4大数据,百度百科,http://baike.baidu.com/view/6954399.htm.
  • 5Wilson J A J, Martinez-Uribe L, Fraser M A, et al. An institutionalapproach to developing research data management infrastructure [ J] .The International Journal of Digital Curation, 2011,6(2) : 274 - 287.
  • 6ComeU University Library. DATASTAR [ EB/OL]. [2012-07 -21]. http ://datastar. mannlib. comell. edu/about. home =l&login = none.
  • 7HKUST. Institutional repository [ EB/OL]. [2012 -07 -25].http ://repository. ust. hk/dspace/.
  • 8PolyU. PolyU Institutional Repository [ EB/OL]. [ 2012 - 08 -01] . http ://repository. lib. polyu. edu. hk/jspui/.
  • 9HKBU. HKBU Institutional Repository [ EB/OL] . [2012 -08 -03]. http://eprints.hkbu.edu.hk/.
  • 10Ward C, Freiman L, Jones S, et al. Making sense:Talking datamanagement with researchers [ J]. The International Journal ofDigital Curation, 2011,6(2) : 265 -273.

共引文献789

同被引文献139

引证文献9

二级引证文献50

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部