Abstract:Based on the interpretation of the meaning, basic content and significance of the digital transformation of government scientific research management, the paper analyzes five main problems of digital transformation of scientific research management in China. The problems include:the "data-driven" scientific research management culture has not yet formed; data islands and data segregation have become bottlenecks; there lacks a unified and efficient technical support system; participation of market and social forces is insufficient; and digital security and privacy leaks. On this basis, it puts forward the following suggestions:first, to cultivate a management culture and improve the data literacy and skills of scientific research managers; second, to strengthen overall planning and promote the change of management organization structure in an orderly manner; third, to build infrastructure to give full play to the role of information technology and digital platforms; fourth, to clarify management responsibilities and build consensus on scientific data sharing and security.
杨晶, 韩军徽, 李哲. 促进科研管理数字化转型的对策[J]. 科技导报, 2021, 39(21): 80-86.
YANG Jing, HAN Junhui, LI Zhe. Research on promoting digital transformation scientific research management. Science & Technology Review, 2021, 39(21): 80-86.