情报计量学视野下的当代人文社科发展背景描绘——一个人文社科领域数据密集型科学发现的探索性案例  

Contemporary Humanities and Social Sciences Development Background from Informetrics Perspective:An Exploratory Case of Humanities and Social Sciences Field Data-intensive Scientific Discovery

作　　者：汤建民[1,2] 

机构地区：[1]武汉大学信息管理学院,湖北430072 [2]浙江树人大学科学计量学研究中心,杭州310015

出　　处：《情报资料工作》2016年第1期17-21,共5页Information and Documentation Services

摘　　要：数据密集型科学发现作为科学研究第四范式的提出,为人文社会科学领域研究模式的创新提供了新的时代机遇。文章遵循此种研究思路,基于CSSCI库2013年收录的来源论文关键词数据,分别从宏观、中观、微观三个层面图示化地描绘了当代中国人文社科各学科研究领域所面临的主要问题和挑战——"学科发展背景",同时也简要讨论了人文社科领域数据密集型科学发现工作的一些特征和规律,以期为其他学科的学者更好地利用人类已有的知识、多开展"预流"性研究工作提供帮助。As a fourth model of the scientific research, the proposal of data intensive scientific discovery has provided a new contemporary opportunity for the innovation of research models in humanities and social sciences. Following this way of thinking, and based on key words of over 90000 related theses in CSSCI in 2013, this paper describes from three level of macro, medium and micro perspectives the major problems and challenges facing various fields of study in China＇s humanities and social sciences, i.e., development background of each discipline. It also gives a brief discussion of some features and patterns of data intensive scientific discovery in modern humanities and social sciences, in the hope of offering help to scholars of other branch of learning as they make better use of existing knowledge in conducting more efficient research.

关 键 词：人文社会科学 数据密集型科学发现 情报计量学 知识图谱 学科发展背景 

分 类 号：G353.1[文化科学—情报学]