摘要
在大数据环境下,情报学正面临一个全新的发展机遇。文章从研究过程出发考察大数据对情报学研究的影响,主要包括:拓展了情报学的问题域,创新了新的研究方法,开拓了新的数据来源和数据获取方式、扩大了数据规模,提供了新的研究工具,增加了研究人员的参与度和学科影响力。深刻洞察情报学研究在大数据环境中的变化,找到有价值的研究问题,才能不断产出有影响力的成果,不断促进学科发展,扩大情报学的影响力和渗透力。
In the big data environment,Information Science is facing a brand-new developing opportunity.This paper investigates the impacts of big data on the research of Information Science in terms of the process,including expanding the domain of Information Science,bringing new research methods,developing new data sources,exploring new data acquisition methods,enlarging data scale,providing new research tools,and improving researchers'participation and disciplinary influence.We should have a deep insight into the changes of Information Science research in the big data environment,and find valuable research questions to constantly produce impressive achievements,and broaden the influence and penetration of Information Science.
出处
《图书情报知识》
CSSCI
北大核心
2018年第5期4-9,共6页
Documentation,Information & Knowledge
关键词
大数据
情报学研究
研究过程
研究创新
学科发展
Big data
Information science research
Research process
Research innovation
Disciplinary development
