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作 者:张静怡 韩春花[2] 佟泽华[1] Zhang Jingyi;Han Chunhua;Tong Zehua(School of Information Management,Shandong University of Technology,Shandong Zibo 255049;Business School,Shandong University of Technology,Shandong Zibo 255012)
机构地区:[1]山东理工大学信息管理学院,山东淄博255049 [2]山东理工大学管理学院,山东淄博255012
出 处:《情报理论与实践》2024年第12期78-88,共11页Information Studies:Theory & Application
基 金:山东省社会科学规划研究项目“元宇宙视角下科研大数据生态链运行机制与路径优化研究”(项目编号:24CTQJ05);国家社会科学基金项目“数据生态视角下科研大数据协同治理研究”(项目编号:19BTQ077)的成果之一。
摘 要:[目的/意义]探究元宇宙视角下科研大数据初生的内在机理,有助于提升科研大数据初生水平,激发科研大数据要素潜能和价值,为科研创新水平的提高奠定坚实的“数据基石”。[方法/过程]首先,对科研大数据初生和元宇宙进行概念界定,分析二者之间的关联关系;其次,在数据生命周期理论的基础上构建元宇宙视角下的科研大数据初生模型(NM-SRBD),并分析其阶段与维度;最后,提出元宇宙视角下科研大数据初生的数据增值策略。[结果/结论]数智时代,元宇宙的虚实共生性、迭代进化性等特性为科研大数据初生活动提供了广阔的生命空间;科研大数据初生是以科研需求、经济需求和社会需求为导向,以规划维、主体自由度维、时间维和空间维为核心维度,从“无数据”到“新数据”的动态过程,也是承载数据基因的初始过程。科研大数据初生的数据增值可采取价值共创、数据整合、场景感知和时空再生策略。[Purpose/significance]Exploring the inherent mechanism of the nascence of scientific research big data from the perspective of the metaverse is helpful to improve the level of nascence of scientific research big data.It will stimulate the potential and value of the element of scientific research big data and lay a solid“data foundation”for the improvement of scientific research innovation level.[Method/process]First,this paper defines the concept of the nascence of scientific research big data and the metaverse,and analyzes the correlations between them.Further,based on the theory of data lifecycle,this paper constructs the nascence model of scientific research big data(NM-SRBD)and analyzes its phases and dimensions.Finally,it proposes strategies for value-added utilization of the nascence of scientific research big data from the metaverse perspective.[Result/conclusion]In the era of digital intelligence,the characteristics of the metaverse,such as its coexistence of virtuality and reality and iterative evolution,provide a vast arena for the nascence of scientific research big data.Oriented by the demand of scientific research,economy,and society,the nascence of scientific research big data is a dynamic process transitioning from“no data”to“new data,”with planning dimension,subjective freedom dimension,time dimension,and spatial dimension as its core dimensions.It is also the initial phase that carries the data gene.The value enhancement of scientific research big data can be pursued through strategies such as value co-creation,data integration,scenario perception,and spatiotemporal regeneration.
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