The continuous development of big data technology and Data Science provides the necessity and possibility for the discipline system design and discipline characteristic regression of modern Intelligence Studies. From the perspective of cognition of Data Science and social requirement for Data Science occupation, modern Intelligence Studies needs to actively explore new development direction in the new era. Based on a large number of literature review and theoretical analysis, this paper compares and analyzes the differences and relations between Intelligence Studies and Data Science, and explores the related discipline construction ideas from two aspects of discipline research methods and discipline education. Data Science can provide beneficial reform direction reference for the development of modern Intelligence Studies, including the re-orientation of education goal, re-design of education content and new requirements of personnel training. It not only helps to change some old contents and methods inherent in traditional Intelligence Studies, but also helps Intelligence Studies better adapt to various practical needs in the new era, including national strategic level and social application level. From the perspective of comparative analysis of disciplines, this paper believes that Data Science can become an important basis and development direction of modern Intelligence Studies transformation under the condition of clear research object and research goal of Intelligence Studies.
Zhang Hu Li Shuqing Ding Xiaowei Hu Heng
. Research Methods and Discipline Education Content Design of Intelligence Studies Oriented for Data Science[J]. Library & Information, 2021
, 41(05)
: 115
-122
.
DOI: 10.11968/tsyqb.1003-6938.2021082