As a new type of production factor in the digital age, data is the foundation of digitization, networking, and intelligence, and has become an important support and key engine for developing new quality productivity. Currently, the rapid development speed, wide radiation range, and profound impact of the digital economy are unprecedented, and it is becoming a key force in restructuring global resource factors, reshaping the global economic structure, and changing the global competitive landscape. In the new development pattern, to cultivate and develop new quality productivity, we must deeply grasp the theoretical logic and practical direction of data-driven productivity leap, and explore the scientific path of cultivating and developing new quality productivity from reality. Data is a key production factor for developing new quality productivity. Unleashing the potential of data elements is an inherent requirement for developing new quality productivity. As a new type of production factor, data collaborates with factors such as labor and capital to achieve data flow leading logistics, talent flow, technology flow, and capital flow, thereby comprehensively improving resource allocation efficiency and promoting the leap of the entire social productivity. Compared to other factors, data generally does not experience loss during use, but rather gets better as it is used. This breaks through the output limit under traditional resource constraints and expands new economic increments. As the "oil" of the digital age, data is the fundamental resource for the birth and development of new industries, formats, and models, and is crucial for cultivating and developing new quality productivity. Releasing the potential of data elements is an important prerequisite for driving productivity upgrades. Currently, the global data volume is growing exponentially, and major economies such as the United States, the United Kingdom, the European Union, and Japan are developing and utilizing data as a strategic resource through the introduction of national data strategies, improvement of domestic data legislation, and strengthening international data cooperation. China has taken the lead in multiple digital economy fields such as 5G, big data, and artificial intelligence, but the development of the big data industry ecosystem still faces a series of shortcomings and challenges. If the construction of the data element market is still in its infancy, the basic system still needs further improvement; The data governance level of enterprises and institutions is generally not high, and the data quality urgently needs to be improved; The foundation of digital transformation is not solid, and the overall high-level application capabilities such as deep data mining are relatively low; Although the total amount of data is huge, there is a shortage of high-quality data that can be used for training large models, which hinders the innovative development of generative AI. Therefore, we must seize the new opportunities of the new round of technological revolution and industrial transformation, promote the interconnection of data elements, fully unleash the value of data elements, and strengthen, optimize, and expand China's digital economy. Data elements are the key engine for cultivating new quality productivity and achieving high-quality development. Currently, the digital economy, as a representative of new quality productivity, is in a process of rapid development. Fully utilizing digital technology and data elements, accelerating the achievement of high-level technological self-reliance and self-improvement in China, and winning the battle against key core technologies are crucial for the development of new quality productive forces. Data elements can revolutionize resource allocation and promote institutional innovation. To break through the bottlenecks that hinder the development of new quality productivity, promote efficient allocation of data elements, improve the level of data resource development and utilization, and achieve synchronous improvement in data scale, quality, and application level, in order to better fully stimulate China's competitive advantage as a data giant. Data elements can empower the real economy and enhance total factor productivity. Currently, the digital economy has entered the stage of intelligent economy, and new forms of platform economy such as intelligent services have become the new engine of China's economic development, demonstrating that the value of existing data elements is being fully released and rapidly integrated into various aspects of productivity improvement. It is an important task to achieve Chinese path to modernization to take multiple measures to break through the blocking points that constrain the development of new quality productivity, and to make data elements better enable the development of new quality productivity. Firstly, we need to promote the deep integration and development of data elements and digital technology. New quality productivity means "high content of novelty", "high content of technology", and "high content of gold". To provide soil and carrier for the cultivation of new quality productivity, it is necessary to continuously strengthen the data resource reserve, improve the quality and upgrade the data infrastructure, ensure the reliable circulation of data elements, continue to strengthen the ecological construction of the data industry, and strengthen technological innovation in artificial intelligence, quantum computing, blockchain, meta universe, industrial Internet and other fields. By making technological changes to fill the gaps in the industry, we aim to shift the economic growth model towards intensive growth driven by quality improvement and innovation, and improve the efficiency of total factor production. Secondly, we need to accelerate the construction and innovation of data infrastructure systems. At present, China is in a tough stage of market-oriented allocation reform of data elements. We must take multiple measures to comprehensively promote data property rights, circulation and trading, income distribution, and security governance, build a data infrastructure institutional framework, standardize the institutional system of data application scenarios, promote the implementation of the data security governance system, provide guidance and norms for cross subject, cross industry, cross regional, and cross national circulation and trading of data, and transform China's huge data resources into new advantages for national competition. Finally, new types of workers who adapt to the needs of digital and intelligent production will become revolutionary forces in the digital age. To benchmark against new trends, we need to establish a framework for the development of digital literacy and skills among workers, deepen the integration of vocational education, industry education, and science education, and enhance the efficiency and scope of knowledge production with high openness, interactivity, and constructiveness. To adapt to the development needs of new industries and professions, we need to accelerate the growth of a high-quality digital workforce and enhance the digital skills of workers. To face the entire cycle, enhancing digital literacy and skills will be the focus of building a skills based society, constructing a digital literacy and skills training path that involves multiple subjects and integrates multiple ways, strengthening the integration of education, technology, and talent support, and injecting new momentum into the development of new quality productivity. (New Society)