摘要目的:通过对医学科研人员数据重用行为的影响因素进行研究，有助于精准提出促进措施、规避风险，在政策层面为我国的开放科学工作提供决策支持。方法:基于制度理论和计划行为理论构建数据重用行为影响因素模型，提出6个关于医学科研数据重用行为影响因素的假设，通过问卷调查法收集到187份有效数据，采用结构方程模型检验研究假设。结果:当重用规则越具体完善，科研人员进行科学数据重用的意愿越强烈。研究氛围是影响数据重用行为的最重要的因素，而感知努力会对科研人员的数据重用行为产生消极的影响。结论:我们建议建立科学数据基础设施、完善数据共享平台的元数据方案、提升科研人员的数据素养。

abstractsObjective:This study aims to identify and enhance management strategies for fostering the conversion of scientific and technological advancements in tertiary general hospitals in Beijing.Methods:A questionnaire survey was conducted to pinpoint and organize the areas needing improvement in the transformation process of scientific and technological achievements at Beijing Tiantan Hospital. This involved aspects such as organization, leadership, investment, incentives, and service guarantees. The data were then analyzed and summarized, taking into account the hospital's management, research activities, and the specific circumstances of the institution.Results:The primary drivers for successful achievement transformation in Beijing's tertiary general hospitals were identified across six key indicators: proficiency of professional and technical managers, allocation of special funds, access to market and industry resources, criteria for job title evaluation and promotion, a culture promoting diligence and fault tolerance, and comprehensive transformation training programs.Conclusions:The study concludes that implementing effective incentives and refining the institutional environment for innovation and transformation are crucial. Additionally, it's vital to adjust work focus and enhance management in weaker areas, in line with the hospital's actual situation. Moreover, boosting service efficiency and providing full life cycle services have emerged as pivotal measures to augment the efficacy of hospital innovation and transformation efforts.