大数据时代的人文社会科学研究路径  

The Research Route in Humanities and Social Sciences in the Era of Big Data

作　　者：杨国立[1] 谢萍[1] 

机构地区：[1]江苏大学图书馆,镇江212013

出　　处：《图书情报研究》2016年第4期3-8,共6页Library and Information Studies

基　　金：江苏省教育厅高校哲学社会科学基金项目"江苏省文科重点高校人文社会科学动态绩效的国际比较与预测研究"(项目编号:2013SJD870001)的研究成果之一

摘　　要：分析大数据对人文社会科学研究的影响,主要包括大数据为人文社会科学研究提供了数据思维、大数据共享使人文社会科学共同体的凝聚力更强两种积极影响和大数据研究容易导致人文社会科学研究所固有的科学抽象思维弱化、大数据研究容易使人文关怀缺失、大数据研究容易打破人文社会科学情境化的研究逻辑三种消极影响,指出该消极影响的根源在于"物化"和"分化"意识,总体性方法是解决人文社会科学大数据研究"物化"和"分化"的宏观路径,而科学共同体是总体性方法实现的具体路径。The present article analyzes both the positive and the negative influence of big data on the research in humanities and social sciences. It points out that while big data pro-vides data thinking for the research and big data sharing helps to enhance the cohesion of the community of humanities and social sciences, research based on big data may lead to the weakening of abstract thinking inherent in the research in humanities and social sciences, loss of humanistic care and the undermining of the contextualized research logic. It further concludes that the negative influence may be rooted in the awareness of＂ materialization＂ and ＂differentiation＂,which can only be got rid of by the overall research method and forming a scientific community is the way to successful application of the overall research method.

关 键 词：大数据 人文社会科学 数据思维 总体性方法 

分 类 号：G31[文化科学]