中国高层次科技人才域知识库数据集
收藏资源简介:
本数据集聚焦中国高层次科技人才的学术产出、科研合作、创新影响力及流动轨迹,覆盖自然科学、工程技术、农业科学、医药卫生、人文社会科学等主要学科领域。数据内容包括人才背景信息、论文及专利产出、合作网络、综合影响力指数等维度。适用于科技人才评价、学科发展分析、科研团队发现、人才引进决策及科技领域大模型训练等场景。
This dataset focuses on the academic outputs, scientific research collaborations, innovative influence and mobility trajectories of high-level scientific and technological talents in China, covering major academic disciplines including natural sciences, engineering technology, agricultural sciences, medical and health sciences, humanities and social sciences, etc. Its content covers multiple dimensions such as talent background information, paper and patent outputs, collaboration networks, and comprehensive influence index. It is applicable to scenarios such as evaluation of scientific and technological talents, discipline development analysis, discovery of research teams, talent introduction decision-making, and training of large language models (LLMs) in the field of science and technology.




