摘要
情报学学科建设已受到学界高度关注,大数据对其影响很难被绕过。大数据环境将情报学推向新的发展阶段,在给情报学发展带来危机的同时,也为情报学地位的提升和研究力量的凝聚等提供了很好的发展机遇。本文认为,破解危机、把握发展机遇的核心在于基于大数据思维的情报学学科发展。为此,本文以大数据思维为引导,重新思考了情报学学科定位、学科目标、理论体系、知识体系和生产管理体系,以及情报研究、情报服务、情报人才培养等问题。
Discipline construction has been a major concern in academic circles. The big data environment has pushed intelligence studies into a new developmental stage. Although it has brought about a great crisis for intelligence studies, it has also brought great opportunities for as well as the promotion of intelligence studies and the cohesion of research resources. This paper argues that the core of cracking the crisis and grasping the opportunity lies in big data thinking in the discipline construction of intelligence studies. Accordingly, big data thinking is considered a guide, and this article rethinks the discipline orientation, discipline objectives, theoretical systems, knowledge systems, and production management systems of intelligence studies, as well as intelligence research, information services, and intelligence personnel training.
作者
李品
杨建林
Li Pin;Yang Jianlin(School of Information Management,Nanjing University,Nanjing 210023;Jiangsu Key Laboratory of Data Engineering&Knowledge Service,Nanjing University,Nanjing 210023)
出处
《情报学报》
CSSCI
CSCD
北大核心
2019年第3期239-248,共10页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金重大项目"情报学学科建设与情报工作未来发展路径研究"(17ZDA291)
国家社会科学基金重点项目"面向国家发展与安全决策的情报服务创新研究"(18ATQ003)
江苏省社会科学基金项目"Intelligence导向的情报学知识体系与核心问题域研究"(17TQB008)
关键词
情报学
大数据思维
学科发展
情报学理论
intelligence studies
big data thinking
discipline construction
intelligence theory