基于深度学科分类的科技查新模式研究——以国家“重大新药创制”计划项目申报的查新工作为例  

Research on Novelty Retrieval Models Based on Deep Subject Classification——Taking Novelty Retrieval Work on National "Important Project of Pharmaceutical Innovation" for Example

作　　者：陈芳[1] 郑菲[1] 陈朝晖[1] 

机构地区：[1]中国科学院国家科学图书馆,北京100190

出　　处：《图书情报工作》2010年第14期57-60,144,共5页Library and Information Service

摘　　要：以国家"重大新药创制"项目查新需求为出发点,统计国家科学图书馆近年来生物医药领域的科技查新工作,探讨并分析科技查新工作的问题和规律。通过深入的学科分析,提出针对生物医药领域查新的深度学科分类的工作模式。并从文献计量角度分析查新报告的密切相关文献,为查新工作提供文献数量指标的探索方向。最后,总结国家科学图书馆查新中心的人力资源立体化保障模式。Taking novelty retrieval work on national ＂Important Project of Pharmaceutical Innovation＂ as an example, this paper investigates the biomedical novelty retrieval reports from 2006 to 2008 of National Science Library. Based on statistical and deep into subject analysis, five classification models are proposed aiming at biomedical novelty retrieval. And a bibliometric analysis is performed to make clear how to pick up the most close-relevant literatures for novelty retrieval reports. Lastly, a network system of human resources is advised.

关 键 词：科技查新 生物医药 新药创制 统计分析 

分 类 号：G252[文化科学—图书馆学]