信息资源管理学报2025，Vol.15Issue(5)：147-161,15.DOI:10.13365/j.jirm.2025.05.147
NSFC资助视角下的信息资源管理学科发展研究
Research on the Development of Information Resources Management Discipline from the Perspective of NSFC Funding
摘要
Abstract
From the perspective of National Natural Science Foundation projects,this study delves into the theme and direction synthesis of research in the field of Information Resources Management,aiming to grasp the trends in this discipline as it undergoes transformation.A framework for analysing the developmen-tal trends of the discipline has been constructed,integrating theme mining and deep learning models.Based on the NSFC's G0414 project data from the past five years,this study conducts visual analyses of project theme identification,differences between application and funding themes,thematic association structures,and their evolution over time.The funding ratio for the Information Resource Management discipline remains stable and at a high level,primarily concentrated among a few top-ranking universities.A limited number of thematic areas have received final funding,including information demand,multimodal computing,knowledge discovery,intelligent empowerment,large models,and risk management.These themes exhibit varying de-grees of interconnection and influence,characterized by ongoing evolutionary traits.In the realm of natural science research,the overall development of the Information Resource Management discipline is promising,with stable funding levels focusing on specific research directions.However,there is a significant discrepan-cy between project applications and funding outcomes.关键词
信息资源管理/学科发展态势/自科基金项目/主题挖掘/内容表示模型Key words
Information resources management/Developmental trends of the discipline/Natural science foundation projects/Theme mining/Content representation models引用本文复制引用
胡吉明,杨云..NSFC资助视角下的信息资源管理学科发展研究[J].信息资源管理学报,2025,15(5):147-161,15.基金项目
本文系国家社会科学基金一般项目"基于结构功能的政策文本摘要生成研究"(23BTQ081)的研究成果.(This research is supported by the National Social Science Foundation of China,"Research on Policy Text Summary Gener-ation Based on Structural Function"(23BTQ081).) （23BTQ081）
