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[目的/意义]面向区域科技资源共享平台(以下简称区域共享平台)多样化、个性化、复杂化的服务需求,探索大数据环境下区域共享平台云服务模式具有重要现实意义。[方法/过程]文章从科技需求的时间维度出发,设计基于现实需求的信息交互云服务模式、基于潜在需求的知识推送云服务模式和基于未来需求的智慧营销云服务模式。[结果/结论]以黑龙江省科技创新创业共享服务平台为实证研究对象,给出平台未来发展对策建议,旨在为我国各区域政府科技管理部门以及区域共享平台发展管理提供科学依据和参考。
[Purpose / Significance] To meet the diversified, personalized and complicated service requirements of regional science and technology resource sharing platform (hereinafter referred to as regional sharing platform) and exploring the cloud service model of regional sharing platform in big data environment, it is of great practical significance. [Methods / Processes] The article starts from the time dimension of science and technology demand, designs information exchange cloud service model based on actual demand, knowledge push cloud service model based on potential demand, and smart marketing cloud service model based on future demand. [Results / Conclusion] Taking Heilongjiang science and technology innovation and entrepreneurship sharing service platform as the empirical research object, this paper gives suggestions on the future development of the platform and aims to provide a scientific basis and reference for the development and management of government science and technology management departments and regional sharing platforms in all regions of China.