SERVICE RESEARCH

Research and Practice on Subject Service 3.0 Model

  • Liu Yu ,
  • Shi Jiqiang ,
  • Xu Yingqi ,
  • Lu Ying
Expand
  • Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610299

Received date: 2022-02-24

  Revised date: 2022-05-12

  Online published: 2022-08-19

Abstract

[Purpose/Significance] This paper proposes a new model for subject service 3.0, which provides theoretical models and practical references for the innovative development of subject librarian teams in the scientific big data environment. [Method/Process] Facing the new paradigm and new situation of scientific research in the scientific big data environment, this paper analyzed the intergenerational evolution trend of subject librarians. It focused on designing a new organization and service model via six dimensions: "innovating organizational method", "improving skill capability" "changing working way" "expanding service content" "improving service level" and "optimizing goal pursuit". It established a "matrix + mesh"(dual collaboration) multi-cooperation system to innovate the organization of subject librarian teams. Furthermore, it improved the skill capability of subject librarians in accordance with the requirements of "ability specialization" "work precise", and changed the working way according to "team collaboration" "embedding process" "warm cooperation" and "high brand value". Additionally, it focused on the "four key objects", along the scientific and technological innovation industry chain, expanded the service content, and improved the service level, thereby supporting scientific and technological management and decision-making. On this basis, it carried out a case study on an institute of Chinese Academy of Sciences. [Result/Conclusion] The new organization service model of subject service 3.0 constructed in this paper, effectively improved the construction effect of subject services in the current scientific big data environment, and provided better research services and decision-making support for users.

Cite this article

Liu Yu , Shi Jiqiang , Xu Yingqi , Lu Ying . Research and Practice on Subject Service 3.0 Model[J]. Library and Information Service, 2022 , 66(16) : 69 -77 . DOI: 10.13266/j.issn.0252-3116.2022.16.007

References

[1] 图书馆·情报与文献学名词审定委员会. 图书馆·情报与文献学名词[M]. 北京:科学出版社,2017.
[2] 黄筱玲. 我国图书馆学科服务变革历程及特点[J]. 高校图书馆工作,2019,39(5):24-27.
[3] 宋玲玲. 北美高校图书馆学科馆员服务转型典型案例研究[J]. 图书馆理论与实践,2019(7):43-50.
[4] 袁红军,袁一帆. 学科馆员数据智慧研究[J]. 图书馆理论与实践,2021(1):20-26.
[5] 刘涛雄,尹德才. 大数据时代与社会科学研究范式变革[J]. 理论探索,2017(6):27-32.
[6] 李洁,徐建刚,黄晨. 数据驱动的评价范式实证研究[J].情报理论与实践,2021,44(6):55-60.
[7] 范翠玲,何宗玉,张仕君. 国内外高校图书馆学科馆员制度比较研究[J]. 图书馆工作与研究,2009(5):82-85.
[8] 王媛,范爱红,韩丽风,等. 清华大学图书馆学科服务:20年回顾与未来展望[J]. 图书情报工作,2018,62(24):6-11.
[9] 吴鸣,杨志萍,张冬荣. 中国科学院国家科学图书馆学科服务的创新实践[J]. 图书情报工作,2013,57(2):28-31.
[10] 初景利,张冬荣. 第二代学科馆员与学科化服务[J]. 图书情报工作,2008,52(2):6-10,68.
[11] 初景利. 试论新一代学科馆员的角色定位[J]. 图书馆理论与实践,2007(3):1-3.
[12] 杨志萍,郑颖,陈漪红,等. 中国科学院国家科学图书馆的学科化服务实践与思考[J]. 情报科学,2008,26(8):1143-1147.
[13] JAGUSZEWSKI J, WILLIAMS K. New roles for new times: transforming liaison roles in research libraries [EB/OL]. [2022-05-11]. https://conservancy.umn.edu/handle/11299/169867.
[14] ACRL RESEARCH PLANNING AND REVIEW COMMITTEE. Top trends in academic libraries: a review of the trends and issues affecting academic libraries in higher education [EB/OL]. [2022-05-11]. http://www.nteu.org.au/var/files/uploads/pdfs/4a0af8af827fb7f82f062cc7573d3988.pdf.
[15] KITCHIN R. Big data, new epistemologies and paradigm shift[J]. Big data & society, 2014, 1(1):1-12.
[16] MAURO G, ALESSIO B, GIORGIO V. Astrophysics and big data: challenges, methods, and tools [J]. Proceedings of the International Astronomical Union, 2016,12(325): 345-348.
[17] REICHSTEIN M, CAMPS-VALLS G, STEVENS B, et al. Deep learning and process understanding for data-driven earth system science [J]. Nature, 2019,566(7743):195-204.
[18] 赵晏强,周伯柱. 学科馆员3.0及其服务体系构建[J]. 图书馆学研究,2021(14):79-86.
[19] 张志强,范少萍. 论学科信息学的兴起与发展[J]. 情报学报,2015,34(10):1011-1023.
[20] 张志强,胡正银,文奕. 学科信息学与学科知识发现[M]. 北京:科学出版社, 2020.
[21] ELSE H. How a torrent of COVID science changed research publishing - in seven charts[J]. Nature, 2020,588(7839): 553.
[22] 刘宇,方曙,杨志萍,等. 面向专利信息精准需求的课题组嵌入式学科服务模式构建与实践[J]. 图书情报工作,2017,61(9):42-52.
[23] 张志武,杜昊. 学术大数据驱动下图书馆一流学科精准服务研究[J]. 图书馆工作与研究,2021(8):76-83.
[24] 刘宇,杨志萍,王春明,等. 基于全过程管理理念的文献情报项目评价体系的构建与实践——以群组平台项目为例[J]. 图书情报工作,2016,60(24):76-85.
[25] 刘宇,孙跃辉,刘忠禹,等. 重大课题组知识产权风险管理模式——联用失效模式及效果分析和故障树分析方法[J]. 科技管理研究,2021,41(8):156-162.
[26] 陆颖,左雨萌,杨志萍,等. 学科化服务在科研机构决策中发挥咨询作用的思考[J]. 图书馆工作与研究,2020(1):65-72.
Outlines

/