摘要
[目的/意义]科研大数据风险长期蛰伏于科研活动过程,威胁着科研大数据的健康发展,探究科研大数据风险传导的核心机理,解构其形成—传导过程,能够为后续相关研究提供理论参考。[方法/过程]构建科研大数据风险传导模型(RCM-SRDB),从要素、维度等方面深入分析,并进一步对科研大数据风险的传导路径进行多维度解读。[结果/结论]研究表明,科研大数据风险传导是一个以风险原体、风险散播者、传导介质、风险感染者为链条,以生态本质使然、自我主义驱使、安全技术时滞、多元环境威胁为诱因,以时间维、空间维、层次维、强度维为风险核心维度,以线形靶向路径、多重交互路径、星形扩散路径、孤波—分形式路径为传导路径,以危害科研大数据生态系统健康发展为潜在威胁的动态多维过程。
[Purpose/significance]The risk of scientific research big data has been dormant in the process of scientific research activities for a long time,threatening its healthy development.Therefore,exploring the core mechanism of the Risk Conduction Model for Scientific Research Big Data and deconstructing its formation-conduction process can provide a theoretical basis for subsequent related research.[Method/process]Construct a Risk Conduction Model for Scientific Research Big Data(RCM-SRDB),analyze in depth from several aspects such as element analysis and dimensional analysis,and further interpret the transmission path of scientific research big data risk in multiple dimensions.[Result/conclusion]The research shows that the Risk Conduction Model for Scientific Research Big Data is a chain of risk primitives,risk spreaders,transmission media,and risk infections.Meanwhile,its incentives include being driven by ecological nature and egoism,safety technology time lag and multiple environmental threats.In addition,time dimension,space dimension,hierarchical dimension,and intensity dimension are the core dimensions of risk,and linear targeting paths,multiple interactive paths,star diffusion paths,and solitary wave-fractal paths are used as transmission paths to endanger scientific research.The healthy development of the data ecosystem is a dynamic multidimensional process of potential threats.
出处
《情报理论与实践》
CSSCI
北大核心
2022年第4期17-26,共10页
Information Studies:Theory & Application
基金
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”的成果之一,项目编号:19BTQ077。
