大模型视域下大数据政策生态链研究 ——以科学数据政策为例

Research on the Ecological Chain of Big Data Policy from the Perspective of Big Model--A Case Study of Science Data Policy

[目的/意义]分析大模型时代背景下大数据政策生态链,旨在提升大数据政策效能,促进大数据共享。[方法/过程]基于大模型时代大数据政策新特性,结合生态学理论、大数据生命周期理论与政策生命周期理论,阐述了大数据政策生态链内涵,并以科学数据政策为例,总结了大数据政策生态链面临的新挑战,并推理出相应优化策略。[结果/结论]大数据政策生态链是生态学、社会生态、政治生态交集子生态的下级单元,是大数据背景下衍生贯穿于大数据生产、传播、消费、分解、再生全数据生命周期,串联政策颁发、传递、接受、反馈、改革众多政策过程,以配置大数据资源、监管大数据生态活动为工作内容,以控制数据质量、保障数据安全、促进数据共享为目标的,具有互动性、循环性、价值性、权威性、合法性、专有性、科学性的双螺旋链式生态结构,但其正面临着节点弱、链条短、网络疏等新挑战。

[Purpose/Significance]The study analyzes the ecological chain of big data policy in the context of big model era,aiming to improve the effectiveness of big data policy and promote big data sharing.[Method/Process]Based on the new characteristics of big data policy in the big model era,combined with ecological theory,big data life cycle theory and policy life cycle theory,this paper expounded the connotation of big data policy ecological chain,and summarized the new challenges faced by big data policy ecological chain by taking scientific data policy as an example,and deduced the corresponding optimization strategy.[Result/Conclusion]The big data policy ecological chain is a sub-unit of ecology,social ecology and political ecology.It is derived and runs through the whole data life cycle of big data production,dissemination,consumption,decomposition and regeneration under the background of big data,and connects many policy processes such as policy issuance,transmission,acceptance,feedback and reform.It takes the allocation of big data resources and supervision of big data ecological activities as its work content.With the goal of controlling data quality,ensuring data security and promoting data sharing,the double-helix chain ecological structure has interaction,circularity,value,authority,legitimacy,exclusivity and scientificity,but it is facing new challenges such as weak nodes,short chains and sparse networks.