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New Technology of Library and Information Service  2014, Vol. 30 Issue (3): 1-7    DOI: 10.11925/infotech.1003-3513.2014.03.01
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Study on the Methods of Institutional Repository Supporting Research Services
Liu Yajing1,2, Wang Yanxi1, Hao Dan1, Zhou Jinhui1,2
1 Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;
2 National Science Library, Chinese Academy of Sciences, Beijing 100190, China
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Abstract  

[Objective] This paper trends to research the efficient methods and means to use Institute of Software Chinese Academy of Sciences Institution Repository(ISCAS-IR), design the solution to support research service through analyzing the needs of ISCAS-IR, and then provide reference for IR application in supporting scientific services. [Context] National Science Library Chinese Academy of Science started the construction of institutional repository in 2009, ISCAS participated to become one of the first demonstration institutions. On the basis of completing the data storage, ISCAS explores the effective ways to support ISCAS research service with IR. [Methods] According to the need of data organization in ISCAS-IR, the authors design the proposal satisfied the need of knowledge service on data extraction and integration, supply the technology for ISCAS research supporting service. [Results] Making use of the ISCAS-IR effectively, the approach for researcher and scientific management department to acknowledge the research output is supplied, and the statistics problems of research output by hand is solved. [Conclusions] This paper supplies the method and practical proposal for the IR users on analyzing the research needs, making use of IR data effectively and improving the application of IR data.

Key wordsInstitutional Repository (IR)      Research support services      Topic clustering      Information extraction       IR service case     
Received: 18 November 2013      Published: 15 April 2014
:  G250.7  

Cite this article:

Liu Yajing, Wang Yanxi, Hao Dan, Zhou Jinhui. Study on the Methods of Institutional Repository Supporting Research Services. New Technology of Library and Information Service, 2014, 30(3): 1-7.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.03.01     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I3/1

[1] Cornell University Library. Positioning Cornell University as a Leader in the 21st Century: The Role of Information Technologies [EB/OL]. [2013-10-13]. http://www. library. cornell. edu/staffweb/CUL%20IT%20Strategic%20Plan. pdf.

[2] Darnton R. The Library in the New Age [J/OL]. The New York Review of Books, 2008, 55(10). [2013-10-30]. http:// www. nybooks. com/articles/archives/2008/jun/12/the-library- in-the-new-age/.

[3] Albanese A R. Institutional Repositories: Thinking Beyond the Box [J/OL]. Library Journal, 2009, 134(4):26-28. [2013- 10-02]. http://www.libraryjournal.com/article/CA6639327.html? industryid=47109.http://lj.libraryjournal.com/2010/05/academic- libraries/institutional-repositories-thinking-beyond-the-box/.

[4] 张冬荣, 祝忠明, 李麟, 等. 中国科学院机构知识库建设推广与服务 [J]. 图书情报工作, 2013, 57(1):20-25. (Zhang Dongrong, Zhu Zhongming, Li Lin, et al. Construction, Promotion and Service of CAS IRs [J]. Library and Information Service, 2013, 57(1):20-25.)

[5] 张晓林. 机构知识库的政策、功能和支撑机制分析 [J]. 图书情报工作, 2008, 52(1):23-29. (Zhang Xiaolin. Analysis on Policies, Functions and Enabling Mechanisms for Institutional Repositories [J]. Library and Information Service, 2008, 52(1):23-29.)

[6] 祝忠明. 基于CAS-IR系统的研究所IR建设 [R/OL]. [2014-01-04]. http://ir. las. ac. cn/handle/12502/1670. (Zhu Zhongming. IR Construction for Institutes Based on CAS-IR System [R/OL]. [2014-01-04]. http://ir.las.ac.cn/handle/ 12502/ 1670.)

[7] 刘毅, 汤怡洁, 杨锐, 等. 基于Liferay Portal的所级图书馆集成信息服务平台设计与实现 [J]. 现代图书情报技术, 2008(6):72-77. ( Liu Yi, Tang Yijie, Yang Rui, et al. The Design and Implement of Institution Integration Information Platform Based on Liferay Portal [J]. New Technology of Library and Information Service, 2008(6):72-77.)

[8] 赵迎光, 马建霞. 基于科学工作流的科研知识产出管理和利用研究 [J]. 情报杂志, 2012, 31(3):151-156. (Zhao Yingguang, Ma Jianxia. Research on Management and Utilization of Output of Knowledge in Scientific Research Based on Scientific Workflow [J]. Journal of Intelligence, 2012, 31(3): 151-156.)

[9] 聂华, 韦成府, 崔海媛. CALIS 机构知识库:建设与推广、反思与展望 [J]. 中国图书馆学报, 2013, 39(2):46-51. (Nie Hua, Wei Chengfu, Cui Haiyuan. CALIS Institutional Repository: Construction and Promotion, Reflection and Prospects [J]. Journal of Library Science in China, 2013, 39(2):46-51.)

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