推动国家大数据战略实施、加快数字中国建设的若干思考

稿源:产业创新研究 所属栏目: 创新引领

王宇霞

(中国电子信息产业发展研究院 赛迪智库 软件产业研究所,北京 100036)

摘要:中共中央政治局2017年12月8日就实施国家大数据战略进行第二次集体学习时,中共中央总书记习近平强调,审时度势、精心谋划、超前布局、力争主动,推动实施国家大数据战略,加快建设数字中国。在此背景下,本文从政策法规环境、产业发展情况、数据资源集聚共享、应用融合渗透等多角度、多层面总结了我国大数据发展取得的成就,并从数据资源开放共享程度、政策法规体系建设、技术创新引领作用、助推数字转型程度、产业统计和标准体系建设等多个方面分析了我国大数据发展面临的诸多挑战,在此基础上,提出了推动国家大数据战略实施,加快数字中国建设的四大举措建议:增强大数据发展能力、深化与实体经济融合、以数据驱动国家治理体系和治理能力现代化、构建数据安全防护体系。

关键词:国家大数据战略;数字中国建设

Abstract:When the Politburo of the CPC Central Committee carried out the second collective study on the implementation of the national big data strategy on December 8, 2017, the General Secretary of the CPC Central Committee Xi Jinping stressed that reviewed the situation, carefully planned, advanced the layout, and strived to take the initiative to promote the implementation of the national big data strategy and speed up the construction of digital China. In this context, this article summarizes the achievements of China’s big data development from multiple perspectives, including policy and regulatory environment, industrial development, aggregating and sharing of data resources, and application integration. And analyzed the challenges faced by China’s big data development from many aspects such as the openness and sharing of data resources, the construction of policies and regulations, the leading role of technological innovation, the promotion of digital transformation, the construction of industry statistics and standards systems. Based on this, four suggestions for promoting the implementation of the national big data strategy and accelerating the construction of digital China are proposed: strengthening the development capacity of big data, deepening the integration with the real economy, modernizing the data-driven national governance system and governance capabilities, and constructing data security protection system.

Key words:national big data strategy;construction of digital China

作者简介:王宇霞,计算机专业博士,供职于中国电子信息产业发展研究院,赛迪智库软件产业研究所。主要从事软件与信息服务产业研究、行业分析、政策规划、前沿技术跟踪等工作,关注领域包括大数据、人工智能、云计算、虚拟现实、工业软件、数字经济等。

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