知识产生方式和科技决策支撑的重大变革——面向大数据和开源信息的科技态势解析与决策服务

Decision Service and Academic Analytics for Development of S&T based on Open Source Intelligence and Big Data

        王飞跃(中国科学院自动化研究所复杂系统管理与控制国家重点实验室)

         大数据;开源情报;科技情报;研究解析学;ACP方法

        big data;open source intelligence;academic intelligence;research analytics;ACP method

        文章简述了面向大数据和开源信息的科技态势解析与决策服务的理念、概念及基本的系统框架和技术体系。主要强调科技态势及决策支持的相关工作应借鉴情报安全信息学的最新进展,加快变革科技信息的获取、分析、转播及影响方式,实现从科技信息向科技情报,并迅速向科技解析的转化,进而及时和变革性地提升科学知识的产生与教育方式,以及科技决策的制定与实施手段。本文讨论的方法亦适用于支撑经济社会其他领域的重大决策。

        This article addresses concepts,frameworks,methods,architectures,processes and prototype systems for decision service and academic analytics in science and technology based on open source intelligence and big data.The impact and significance of the Cyberspace,open source intelligence,and big data are investigated.The focus of discussion is on the needs for rapid and revolutionary changes in the acquisition,analysis,dissemination,influence,and generation of academic information for the purpose of evaluation and decision support in science and technology development.