大数据时代,数据爆发增长、海量集聚,人类积累数据的能力远远超过分析和处理数据的能力。数据拥堵、数据失真、数据安全等问题接踵而至,加剧了社会的不确定性和不可预知性,造成了人类认识世界和改造世界的障碍。为此,本文基于复杂理论和块数据理论的应用实践,创新性地提出激活数据学的理论和实践体系,并系统性地探索其理论基础、运行规律和应用模型。激活数据学是以充分发挥人机群体智能为核心,综合运用数据科学、生命科学、社会科学和智能科学等提出的海量数据存储、处理和利用的解决方案。激活数据学的提出对于解决海量数据困扰,清除认知障碍,破解未来数据拥堵难题有着重要的现实意义。
<<In the big data time,data present the trend of explosive growth and mass aggregation,and the mankind's ability to accumulate data is far higher than the ability to analyze and process data. Data congestion,distortion,security and other problems come one after another,which has aggravated the uncertainty and unpredictability of the society and prevented mankind from perceiving and transforming the world. To this end,this report,based on the application practices of complex theory and block data theory,innovatively proposes the theoretical and practical system for activation data science,and systematically explores its theoretical foundation,principle of operation and application model. The activation data science is the mass data storage,processing and utilization solution that fully exerts the human-machine mass intelligence as the core and combines data science,life science,social science,intelligence science and other disciplines. The appearance of activation data science is of great theoretical and realistic significance to solve the trouble of mass data,eliminate perspective barriers and terminate future data congestion.
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