Please wait a minute...
New Technology of Library and Information Service  2015, Vol. 31 Issue (7-8): 89-96    DOI: 10.11925/infotech.1003-3513.2015.07.12
Current Issue | Archive | Adv Search |
Research on Comparison Method of Scientific Funding Layout——Take NSF and EU FP Grants for Instance
Chen Ting, Han Tao, Li Zexia, Li Guopeng, Wang Xiaomei
National Science Library, Chinese Academy of Sciences, Beijing 100190, China
Download: PDF(1264 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] This study targets to improve the ability to discover research layout of funding agencies based on their funding application documents. [Methods] The K-means++ clustering method is proposed to analyse the funding direction and main focus based on multiple sources of funding application documents. [Results] After validation and a case study based on the funding application abstracts from NSF and FP, it is discovered that single-word feature is more accurate than multi-word feature in the K-means++ clustering. If only keep the essential contents of application abstrcts as analysis documents, the accuracy of the K-means++ clustering is significantly improved. [Limitations] Data cleaning of the funding application documents is not fully automated. Adjustment of clustering parameters need to be manually controlled. [Conclusions] The K-means++ clustering of funding application documents is a practicable method by validation and case study. Research layout differences in agencies' funding trends are discovered and could be helpful for scientific management and policy decision.

Received: 18 December 2014      Published: 25 August 2015
:  G250  

Cite this article:

Chen Ting, Han Tao, Li Zexia, Li Guopeng, Wang Xiaomei. Research on Comparison Method of Scientific Funding Layout——Take NSF and EU FP Grants for Instance. New Technology of Library and Information Service, 2015, 31(7-8): 89-96.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2015.07.12     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2015/V31/I7-8/89

[1] 周兴明. 科学基金制是调控我国科学资源优化配置的重要手段——1982至1995年国家自然科学基金优化配制情况统计分析[J]. 科研管理, 1997, 18(6): 1-15. (Zhou Xingming. The Foundation System of Nature Science is an Important Means for Adjusting the Optimal Allocation of Science Research Resources in China ——The Statistic Analysis of the Projects Supported by the Foundations of Nature Science from 1982 to 1995 [J]. Science Research Management, 1997, 18(6): 1-15.)
[2] 陈丽贞, 李洁, 郑世珠, 等. 国家自然科学基金项目依托单位的分布统计研究[J]. 科研管理研究, 2008, 28: 106-108. (Chen Lizhen, Li Jie, Zheng Shizhu, et al. Statistical Distribution Research on Research Agency of National Natural Science Foundation of China [J]. Science and Technology Management Research, 2008, 28: 106-108.)
[3] 蒋颖, 阳宁晖, 刘筱敏, 等. 我国国家自然科学基金的地区分布研究[J]. 科学学与科学技术管理, 2003, 24(3): 5-10. Jiang Ying, Yang Ninghui, Liu Xiaomin, et al. Regional Distribution Research Based on National Natural Science Foundation of China [J]. Science of Science and Management of S.& T., 2003, 24(3): 5-10.)
[4] Eckhouse S, Lewison G, Sullivan R. Trends in the Global Funding and Activity of Cancer Research [J]. Molecular Oncology, 2008, 2(1): 20-32.
[5] 孙金伟, 刘迪, 王贤文, 等. 科学基金资助与SCI论文产出:对10个国家的比较分析[J]. 科学学研究, 2013, 31(1): 36-42. (Sun Jinwei, Liu Di, Wang Xianwen, et al. Science Funding and SCI Paper Output: A Comparative Analysis on 10 Countries [J]. Studies in Science of Science, 2013, 31(1): 36-42.)
[6] 王贤文, 刘则渊, 侯海燕. 全球主要国家的科学基金及基金论文产出现状: 基于Web of Science的分析[J]. 科学学研究, 2010, 28(1): 62-66. (Wang Xianwen, Liu Zeyuan, Hou Haiyan. Global Assessment of Science Funding and Funding Papers: A Study of Web of Science [J]. Studies in Science of Science, 2010, 28(1): 62-66.)
[7] 孟浩, 周立, 何建坤. 自然科学基金投入与科技论文产出的协整分析[J]. 科学学研究, 2007, 25(6): 1147-1150. (Meng Hao, Zhou Li, He Jiankun. The Co-integration Ananlysis on NSF Input and S& T Paper Output [J]. Studies on Science of Science, 2007, 25(6): 1147-1150.)
[8] 周小刚, 罗云峰. 1986-2006 年国家自然科学基金大气科学领域面上项目基金资助及成果统计分析[J]. 地球科学进展, 2007, 22(5): 540-546. Zhou Xiaogang, Luo Yunfeng. A Summary on General Program Projects in Atmospheric Science Funded by the National Natural Science Foundation of China from 1986 to 2006 [J]. Advances in Earth Science, 2007, 22(5): 540-546.)
[9] 相东升. 《情报科学》2001—2005年基金资助论文定量分析[J]. 情报科学, 2006, 24(10): 1501-1504. Xiang Dongsheng. Quantitative Analysis upon Fund-sponsored Theses in 2001-2005 Information Science [J]. Information Science, 2006, 24(10): 1501-1504.)
[10] Auranen O, Nieminen M. University Research Funding and Publication Performance—An International Comparison [J]. Research Policy, 2010, 39(6): 822-834.
[11] 马廷灿, 曹慕昆, 王桂芳. 从国家自然科学基金看我国各省市基础研究竞争力[J]. 科学通报, 2011, 56(36): 3115-3121. (Ma Tingcan, Cao Mukun, Wang Guifang. Analysis of the Regional Competitiveness of Basic Research in China Based on the National Natural Science Fundation of China [J]. Chinese Science Bulletin, 2011, 56(36): 3115-3121.)
[12] 华子春, 王雨轩. 基金相对资助率——反映国家自然科学基金竞争能力的一个新指标[J]. 中国科学基金, 2009, 23(1): 50-55. (Hua Zichun, Wang Yuxuan. The Relative Funding Rate —— A New Indicator Representing Competitiveness of the Grants from the National Natural Science Foundation [J]. Science Foundation in China, 2009, 23(1): 50-55.)
[13] Arthur D, Vassilvitskii S. K-means++: The Advantages of Careful Seeding [C]. In: Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2007: 1027-1035.
[14] 战略研究信息集成服务平台[EB/OL]. [2014-05-20]. http:// strategy.las.ac.cn. Integrated Information Platform for Strategic Research of CAS [EB/OL]. [2014-05-20]. http:// strategy.las.ac.cn.)
[15] AlchemyAPI [EB/OL]. [2014-05-20]. http://www.alchemyapi. com.
[16] K-means++[EB/OL]. [2014-07-13]. http://en.wikipedia.org/ w/index.php?title=K-means%2B%2B.
[17] Moh'd B AI- Zoubi, Mohammad al Rawi. An Efficient Approach for Computing Silhouette Coefficients [J]. Journal of Computer Science, 2008, 4(3): 252.
[18] Rousseeuw P J. Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis[J]. Journal of Computational and Applied Mathematics, 1987, 20:53-65.
[19] Scikit-Learn [EB/OL]. [2014-05-14]. http://scikit-learn.org/ stable/_downloads/plot_cluster_comparison.py.
[20] Rand W M. Objective Criteria for the Evaluation of Clustering Methods [J]. Journal of the American Statistical Association, 1971, 66(336): 846-850.
[21] Lawrence H, Phipps A. Comparing Partitions [J]. Journal of Classification, 1985, 2(1):193-218.

[1] Liu Feng, Zhang Xiaolin. Review on the Scientific Metadata Standards and Research on Its Generic Design[J]. 现代图书情报技术, 2015, 31(12): 3-12.
[2] Sun Yi'nan, Ku Liping, Song Xiufang, Liu Jingjing, Jiang Xian. The Policy Research and Analysis of Subject Data Repository ——Cases Study of Life Sciences[J]. 现代图书情报技术, 2015, 31(12): 13-20.
[3] Bi Qiang, Liu Jian. Research on the Service Recommendation of the Content of Digital Literature Resources[J]. 现代图书情报技术, 2015, 31(12): 21-27.
[4] Zhu Guang. Copyright Protection Scheme of Color Images for Libraries, Museums and Archives Based on Zero-Watermarking[J]. 现代图书情报技术, 2015, 31(12): 89-94.
[5] Wang Zhengjun, Yu Xiaoyi, Jin Yuling. Using Sniffer Technology to Constraint Electronic Resource Excessive Downloading[J]. 现代图书情报技术, 2015, 31(12): 95-100.
[6] Jin Wei, Zhao Rongying, Yin Ge. An Analysis of the Accumulation State and the Validity of User Readership Data in Online Reference Managers ——Take the Indicators of Altmetrics as an Example[J]. 现代图书情报技术, 2015, 31(11): 75-81.
[7] Zheng Yangyang, Xu Jian, Xiao Zhuo. Utilization of Sentiment Analysis and Visualization in Online Video Bullet-screen Comments[J]. 现代图书情报技术, 2015, 31(11): 82-90.
[8] Liu Yueru, Guo Limin. The New Utilizes of WeChat Platform with Interactive Functions[J]. 现代图书情报技术, 2015, 31(11): 104-109.
[9] Zhang Chengzhi, Gu Xiaoxue. Clustering Machine-Generated Tags with Different Quality[J]. 现代图书情报技术, 2015, 31(10): 22-29.
[10] Gu Xiaoxue, Zhang Chengzhi. Combined with Annotated Content and User Attributes for Tag Clustering[J]. 现代图书情报技术, 2015, 31(10): 30-39.
[11] Liu Dan. Personalized Book Recommender Service Deployment Using Apache Mahout[J]. 现代图书情报技术, 2015, 31(10): 102-108.
[12] Ma Yumeng, Guo Jinjing, Wang Fang. Research on the Framework of Semantic Organization Model for Research Data in the e-Science Environment[J]. 现代图书情报技术, 2015, 31(7-8): 48-57.
[13] Wu Dan, Ran Aihua. A Comparative Study of Mobile Reading Applications Based on User Experiences[J]. 现代图书情报技术, 2015, 31(7-8): 73-79.
[14] Guo Zhenying, Zhao Wenbing, Wei Yuhui. Construction of Linked Data with Lightweight Book Bibliography Ontology[J]. 现代图书情报技术, 2015, 31(7-8): 139-143.
[15] Guo Limin, Liu Yueru, Xiang Mingqiong. Application of WeChat QR Code in Reader Authentication[J]. 现代图书情报技术, 2015, 31(7-8): 144-147.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn