The Process,Framework and Implication of Data Management in American Intelligence Community:From the Perspective of Intelligence Data Strategy Evolution
[Research purpose]Under the situation of explosive data growth,how to manage intelligence data quickly and effectively is the key task of current intelligence agencies.From the perspective of intelligence data strategy evolution,this paper reviews the official documents of the United States government,such as"The IC Data Strategy 2023-2025",and analyzes the process and framework of data management in the US intelligence community,to provide inspiration and reference for the development of data-driven intelligence in Chi-na.[Research method]By means of content analysis and literature research,this paper explores the life cycle and system architecture of data management in the US intelligence community,and analyzes the evolution characteristics of the core content of data strategy in the US intelligence community from four aspects:strategic evolution motivation,guiding ideology evolution,data processing evolution,and talent team evolution.[Research conclusion]The intelligence community data management life cycle is the foundation of data strategy and data management,including six different steps such as Plan&Task,Acquire&Assess.The Data Reference Architecture(DRA)and Reference Architecture Framework(RAF)jointly constitute the data management architecture of the intelligence community.In order to adapt to the development of international strategic competition,China should focus on intelligence digital transformation,data integration innovation,cross-departmental data access,talent team training,data privacy security,and accelerate the digital transformation of intelligence agen-cies.
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