农业图书情报学报 ›› 2021, Vol. 33 ›› Issue (12): 48-59.doi: 10.13998/j.cnki.issn1002-1248.21-0271

• 研究论文 • 上一篇    下一篇

面向科学数据保存的科学数据评价指标体系研究

孟银涛1, 赵蕾霞2, 于倩倩3   

  1. 1.国际关系学院 图书馆,北京 100091;
    2.河北经贸大学 图书馆,石家庄 050061;
    3.中国科学院文献情报中心,北京 100190
  • 收稿日期:2021-04-13 出版日期:2021-12-05 发布日期:2022-01-19
  • 作者简介:孟银涛(ORCID:0000-0001-9854-7538),男,硕士,馆员,国际关系学院图书馆,研究方向为知识管理与服务。赵蕾霞(ORCID:0000-0002-5536-8684),女,硕士,馆员,河北经贸大学图书馆,研究方向为信息组织与资源建设。于倩倩(ORCID:0000-0001-8777-1171),女,硕士,馆员,中国科学院文献情报中心,研究方向为数据管理与组织
  • 基金资助:
    国际关系学院中央高校基本科研业务费项目“面向新型智库的高校图书馆建设研究”(3262019T42)

Scientific Data Evaluation Index System for Scientific Data Preservation

MENG Yintao1, ZHAO Leixia2, YU Qianqian3   

  1. 1. University of International Relations Library, Beijing 100091;
    2. Hebei University of Economics and Business Library, Shijiazhuang 050061;
    3. The National Science Library, Chinese Academy of Sciences, Beijing 100190
  • Received:2021-04-13 Online:2021-12-05 Published:2022-01-19

摘要: [目的/意义]科学数据保存是科学数据共享利用的前提,是科学数据高质量、高效率服务的基础。[方法/过程]文章在调研国内外理论研究和实践进展的基础上,根据影响科学数据保存的因素遴选出一批指标,再通过专家调查法对指标体系进行完善,构建“面向科学数据保存的科学数据评价指标体系”,指标体系包含“法定因素”“重用价值”“数据可靠性”等8个一级指标,“法律要求”“特殊学术价值”“数据准确性”等32个二级指标。最后,运用层次分析法对指标权重进行测算。[结果/结论]文章为中国科学数据管理工作提出积极推动科学数据管理立法,提升科研水平、规范学术伦理、提高科学数据质量,发展数据存储与安全技术、推动科学数据共享与长期保存等3条建议。

关键词: 科学数据保存, 科学数据评价, 评价指标体系, 指标权重, 层次分析法

Abstract: [Purpose/Significance] Scientific data preservation is the premise of scientific data sharing and utilization, also is the basis of high-quality and efficient service of scientific data. [Method/Process] On the basis of investigating the progress of theoretical research and practice at home and abroad, this paper selects a number of indicators according to the factors that affect the preservation of scientific data, and then improves the index system by the method of expert investigation. "Scientific data evaluation index system for scientific data preservation" is constructed. The index system includes eight first-level indicators, such as "legal factors", "reuse value", and "data reliability". There are 32 secondary indicators, such as "legal requirements", "special academic value", and "data accuracy". Finally, the analytic hierarchy process is used to calculate the index weight. [Results/Conclusions] This paper puts forward three suggestions for scientific data management in China, such as actively promoting the legislation of scientific data management, improving the level of scientific research, standardizing academic ethics and improving the quality of scientific data, developing data storage and security technology, and promoting scientific data sharing and long-term preservation.

Key words: scientific data preservation, scientific data evaluation, evaluation index system, index weight, analytic hierarchy process(AHP)

中图分类号: 

  • G250

引用本文

孟银涛, 赵蕾霞, 于倩倩. 面向科学数据保存的科学数据评价指标体系研究[J]. 农业图书情报学报, 2021, 33(12): 48-59.

MENG Yintao, ZHAO Leixia, YU Qianqian. Scientific Data Evaluation Index System for Scientific Data Preservation[J]. Journal of Library and Information Science in Agriculture, 2021, 33(12): 48-59.