大数据下区域科技资源共享型智能服务平台模式研究

Research on Regional Science and technology resources sharing intelligent service platform mode under big data

随着大数据时代发展,人们对于如何使用科技资源服务平台来提高对资源利用效率变得愈发关注。在经历了过去的资源型—被动服务和需求型—主动服务两种模式后,科技资源服务平台开始逐渐向着一种新型模式演化,即共享型—智能服务。身处大数据时代,共享型—智能服务在对促进服务水平、服务效率等方面具有重要的作用。在通过对资源服务环境的构建原则以及约束条件研究的基础上,通过探究包括智能终端层、平台门户层、智能处理层和资源库4个模块的新型服务模式,构建智能协调、智能管理和智能服务的三维运行机理模型,三者的智能协同程度越强,平台的服务水平越高。最后从建立有效的科技平台联盟、三重监督机制和多层次法律规范等层面提出政策优化建议。

with the development of big data era,people pay more and more attention to how to use science and technology resource service platform to improve resource utilization efficiency.After experiencing the past two modes of resource-based passive service and demand-based active service,the service platform of science and technology resources is gradually evolving towards a new mode,namely sharing intelligent service.In the era of big data,shared intelligent service plays an important role in promoting service level and service efficiency.Based on the research on the construction principles and constraints of resource service environment,this paper explores the new service mode including intelligent terminal layer,platform portal layer,intelligent processing layer and resource library,and constructs a three-dimensional operation mechanism model of intelligent coordination,intelligent management and intelligent service.The stronger the degree of intelligent collaboration among the three,the higher the service level of the platform.Finally,the paper puts forward policy optimization suggestions from the aspects of establishing effective science and Technology Platform Alliance,triple supervision mechanism and multi-level legal norms.