Research and Design of National Basic Research Management Information Data Center

Article Preview

Abstract:

The accumulation of basic research management information is an important foundation for the continuous development of scientific research, is the important strategic resources of science and technology innovation, economic development and national security, and is the important basis for government departments to formulate policies and make scientific decision. According to the situation of basic research management information, this paper proposed the overall architecture and implementation plan of national basic research management information data center, combined with the key technologies in the construction of data center. By this architecture and plan, a national basic research management information data center with centralized management, ordering specification, reliable sources and fully sharing can be constructed.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2602-2606

Citation:

Online since:

June 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Liu Runda, Zhao Hui: Construction Status and Application Outlook of S&T Projects Information Database, Scientific Management Research, Vol. 29 (2011), pp.38-42

Google Scholar

[2] Information on http://www.zjkh.bj.cn/ztyj-detail/401.html

Google Scholar

[3] Zhao Zhiyun, Yang Chaofeng: Comparison of the Major State Basic Research Management System, Science Technology and Law, Vol. 85 (2010), pp.1-8

Google Scholar

[4] Li Xiongyi, Li Xinjie: Research on Provincial Natural Science Fund Management System, Science of Science and Management of S.& T, Vol. 32 (2011), pp.16-20

Google Scholar

[5] Dai Jianwei, Wu Zhaolin, Zhu Mingdong and Gong Jianhua: Theory and Technology of Data Engineering (National Defence Industry Press, China 2010)

Google Scholar

[6] Qian Pengcheng: Research of Enterprise Information Integration Method Based on Master Data Management Technologies, Shanghai Jiao Tong University, (2009)

Google Scholar

[7] Gong Xueqing, Jin Cheqing, Wang Xiaoling, Zhang Rong and Zhou Ao-ying: Data-Intensive Science and Engineering:Requirements and Challenges, Chinese Journal of Computers, Vol. 35 (2012), pp.1563-1578

Google Scholar

[8] Zhang Yingchao, Deng Su, Zhang Weiming: Research on Metadata Management of Data Warehouse, Computer Engineering, Vol. 29 (2003), pp.8-10

Google Scholar