《中共中央关于坚持和完善中国特色社会主义制度推进国家治理体系和治理能力现代化若干重大的决议》首次将数据列为生产要素。
《关于构建更加完善的要素市场化配置体制机制的意见》，数据成为土地、劳动力、资本、技术之后的第五大生产要素。
数据作为新型生产要素，是数字化、网络化、智能化的基础，已快速融入生产、分配、流通、消费和社会服务管理等各环节，深刻改变着生产方式、生活方式和社会治理方式。
数据要素是指那些以电子形式存在的、通过计算的方式参与到生产经营活动并发挥重要价值的数据资源。在数字经济中，数据要素的角色可与传统的生产要素（如劳动力、资本和土地）相提并论。数据要素是推动数字经济发展的核心引擎，是赋能行业数字化转型和智能化升级的重要支撑，也是国家基础性战略资源。
数据要素的特殊属性，要求加强数据资源的开放共享。数据越多价值越大，越分享价值越大，越不同价值越大，越跨行业、区域、国界价值越大。因此，实施数据开放共享，优化治理基础数据库，不断完善数据权属界定、开放共享、交易流通等标准和措施，促使数据资产重复使用、多人共同使用、永久使用，加快推动各区域、部门间数据共享交换，显得十分必要。
英文翻译：
The Major Resolutions of the Central Committee of the Communist Party of China on Upholding and Improving the Socialist System with Chinese Characteristics and Promoting the Modernization of the National Governance System and Governance Capacity listed data as a factor of production for the first time.
“Opinions on Building a more perfect System and Mechanism for the Market-oriented Allocation of Factors”, data has become the fifth factor of production after land, labor, capital and technology.
As a new production factor, data is the foundation of digitalization, networking and intelligence. It has been rapidly integrated into production, distribution, circulation, consumption and social service management, profoundly changing the mode of production, lifestyle and social governance.
Data elements refer to those data resources that exist in electronic form, participate in production and management activities by means of calculation and play an important value. In the digital economy, the role of data factors is comparable to that of traditional factors of production such as labor, capital, and land. Data elements are the core engine to promote the development of the digital economy, an important support for empowering the digital transformation and intelligent upgrading of the industry, and also the basic strategic resources of the country.
The special attributes of data elements require strengthening the open sharing of data resources. The more data, the greater the value, the greater the sharing value, the greater the different value, the greater the cross-industry, regional, national value. Therefore, it is very necessary to implement open data sharing, optimize the governance of the basic database, constantly improve the standards and measures such as data ownership definition, open sharing, and transaction circulation, promote the repeated use of data assets, common use by many people, and permanent use, and accelerate the sharing and exchange of data between regions and departments.
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