中文    English

›› 2017, Vol. 29 ›› Issue (7): 185-188.doi: 10.13998/j.cnki.issn1002-1248.2017.07.044

• Service management • Previous Articles     Next Articles

Study on the Model Innovation of University Library’s Knowledge Service in the big data Environment

LIN Zansheng, LI Ming   

  1. 1. Anhui Jianzhu University Library, Anhui Hefei 230601, China;
    2. Tongling Polytechnic, Anhui Tongling 244061, China
  • Received:2016-10-27 Online:2017-07-05 Published:2017-07-31

PDF (PC)

91

Abstract: In the big data environment, the form and contents of university library’s knowledge service should keep up with the information era, and actively open and share data resource, and cooperate with other universities, governments, intelligence institutes and enterprises, and upgrade or build an opening and sharing alliance platform to better serve all walks of life and achieve opening and sharing in a real sense to realize data innovation and value of knowledge service. This paper analyzed the construction status of data resource opening and sharing platform in university libraries, and expounded the existing problems, and further clarified the running mode innovation and service strategies.

Key words: big data

CLC Number: 

  • G252
[1] 李勋.“开放与共享大数据推动政府职能转型[N]”.《贵州日报》.2015-05-29.004版.
[2] 国务院.“促进大数据发展行动纲要[N]”.《中国电子报》.2015-09-08.003版.
[3] 魏琳.“以更加开放姿态推动大数据共享共赢[N]”.《中国信息报》.2014-5-27.001版.
[4] 祝忠明,刘巍,张旺强,等.“机构知识库新功能与新服务”[EB/OL].2015.http://ir.las.ac.cn/.
[5] 李大玲,杨琪.”学术机构知识库生命周期研究”.《现代情报》.2015,9(35):23-27.
[6] 苏靖,陈志辉,范治成.“促进科技资源共享的国际借鉴与思考[J]”.《全球科技经济瞭望》.2013,(1).
[7] 张颖.“大数据时代高校图书馆信息资源管理的创新与发展[J]”.《武汉理工大学学报》（社会科学版）.2015,(3):449-452.
[8] 熊健敏.“大数据时代高校图书馆资源创新服务研究[J]”.《浙江高校图书情报工作》.2014,(4):41-45,60.
[9] 韦柳融.“关于公共信息资源开放共享若干问题的研究[J]”.《通信管理与技术》.2014,(4):27-29.
[10] 孙凡,杨周南.“大数据时代公共信息产品政府供给的策略研究[J]”.《财政研究》.2015,(8):8-13.
[1] CHANG ZhiJun, XU LiYuan, YU QianQian, ZHANG JianYong, WANG YongJi. Scientific and Technical Literature Data Management System Based on Life Cycle Model [J]. Journal of Library and Information Science in Agriculture, 2022, 34(6): 36-49.
[2] SONG Kai, RAN Congjing. Digital Technologies Aid Intelligent Epidemic Prevention and Control: Community-based Rapid Detection and Tracking Platform of COVID-19 [J]. Journal of Library and Information Science in Agriculture, 2022, 34(5): 92-101.
[3] SONG Shanshan, BAI Wenlin. A Review of Big Data Governance Research in China [J]. Journal of Library and Information Science in Agriculture, 2022, 34(4): 4-17.
[4] CHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue. Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry [J]. Journal of Library and Information Science in Agriculture, 2022, 34(3): 37-50.
[5] FENG Maolin, DONG Jianfeng. Construction of the Rural Information Service Platform under Big Data Environment [J]. Journal of Library and Information Science in Agriculture, 2021, 33(7): 63-71.
[6] SUN Tan, HUANG Yongwen, XIAN Guojian, CUI Yunpeng, LIU Juan. Considerations for the Development of Agricultural Informatization Driven by a New Generation of Information Technologies [J]. Journal of Library and Information Science in Agriculture, 2021, 33(3): 4-15.
[7] CAO Shujin, YUE Wenyu. Research on Library User Profiles for Precision Services [J]. Journal of Library and Information Science in Agriculture, 2021, 33(10): 4-19.
[8] LIU Yiming, JIANG Xinyu, DUAN Yizhi. Block Chain Technology: Promoting the Digital Resource Construction of University Library in Big Data Era [J]. Journal of Library and Information Science in Agriculture, 2020, 32(6): 15-22.
[9] MA Xiaoyue, XUE Pengzhen. The Cross-integration Development Path of Information Science and Communication Science in the Background of Artificial Intelligence and Big Data [J]. Journal of Library and Information Science in Agriculture, 2020, 32(3): 37-43.
[10] JIANG Enbo, LI Na. Analysis and Evaluation of Chinese Open Government Agricultural Data [J]. Journal of Library and Information Science in Agriculture, 2020, 32(10): 4-15.
[11] ZHAO Ruixue, LI Jiao, ZHANG Jie, ZHANG Dandan. Construction of Multi-Scenario Agricultural Knowledge Service System [J]. Journal of Library and Information Science in Agriculture, 2020, 32(1): 4-11.
[12] LI Xueqing, ZHENG Meiyu, WU Jianhong, HUANG Changqing, XUE Hua. Research on University Libraries Personalized Services Based on Big Data and ontology Technology [J]. Agricultural Library and Information, 2019, 31(9): 75-81.
[13] DU Jian. Biomedical Knowledge Discovery Based on Big Data Linkage Analysis [J]. Agricultural Library and Information, 2019, 31(3): 4-9.
[14] HOU Ru. On the Expansion of Evaluation in Humanities and Social Sciences field in Big Data Environment [J]. Agricultural Library and Information, 2019, 31(2): 36-42.
[15] LIU Wenjiang, HU Zhidan, JIA Fengling. Research on the Development Trend of Big Data in Library and Information Science of China [J]. Agricultural Library and Information, 2019, 31(12): 56-63.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Editorial Board of Journal of Library and Information Science in Agriculture
Tel：(010)82109667　Fax：(010)82109667　E-mail：xuekan＠caas.cn
Powered by Beijing Magtech Co., Ltd.
知识共享许可协议