应用科研履历数据的情报研究进展  

Research Progress on Scientists' Curriculum Vitae Data

作　　者：卫垌圻[1,2,3] 鲁晶晶[1,2] 谭宗颖[1] 

机构地区：[1]中国科学院文献情报中心,北京100190 [2]中国科学院大学,北京100049 [3]中国科学院心理研究所,北京100101

出　　处：《图书情报工作》2015年第7期140-146,共7页Library and Information Service

摘　　要：[目的/意义]由于科研履历提供了其他数据源所没有的丰富而且独特的信息,情报学研究者正越来越意识到它的重要性,并借助科研履历数据在多个领域开展了成果丰硕的各类研究。科研履历正逐步被看作是情报分析与研究的重要数据来源。[方法/过程]采用宏微观和横纵向的两维分析方法,对近20年以科研履历数据作为主要数据源的学术研究文献进行调研与梳理。[结果/结论]提出履历数据至少可以被应用到科研人员的职业成长、人才流动与科研合作、研究群体的特征分析以及科研项目、政策、建制的评估等4个领域的情报研究中。专家库带来的大量结构化履历数据以及以履历数据为枢纽形成的数据链,将推动情报学研究向纵深化发展。[ Purpose/significance ] The researchers are realizing the significance of scientists＇ curriculum vitae （CV） for its richness and uniqueness. The information researchers and analysts were able to make many scientific findings in various domains by exploring the scientist＇ CV data. CV is becoming as the important data source of information research and analysis. [ Method/process] The current study reviewed the academic studies using CV data as their main materials during past two decades. [ Result/conclusion ] We found that there are at least four research domains suitable for CV analysis： scientist＇ career growth, scientific mobility and cooperation, the characteristic analysis of research group, and the evolution of program, policy or institution. Furthermore, CV could act as a data hub linking more various datasets, and improve the information research and analysis

关 键 词：科研履历 情报研究 CV数据 职业成长 人才流动 项目评估 

分 类 号：G350[文化科学—情报学]