Data, as a core element, is increasingly becoming a key component of a country's economic competitiveness in the deepening process of the digital economy. Based on the interdisciplinary perspective of digital governance, constructing the basic theory and governance methods of data circulation market is of great significance for promoting the construction of digital China, enhancing data governance capabilities, and promoting high-quality development. In existing academic research, data flow is often regarded as an economic transaction process, focusing on market mechanisms and transaction behavior. However, with the continuous development of information technology, data is not only an economic resource, but also an important medium for social interaction and cultural construction. Traditional economic theories often overlook the role of cultural background and social relationships in data circulation. To a certain extent, traditional economic theories adhere to data as a resource for economic transactions, neglecting the social and cultural functions of data circulation. However, theoretical updates based on the perspective of digital governance can break through this limitation and incorporate data circulation into a broader scope of social interaction and cultural construction. In the context of globalization, cross-border and cross-cultural data flow patterns have become crucial. How to construct a data governance model that can adapt to different cultural and national backgrounds has become an urgent problem to be solved in this field. Multidimensional definition of data circulation: a dual perspective of economic assets and social resources. Traditional economics regards data as a commodity or resource, but with the increasing importance of data, it is also valued as a 'social asset'. From this perspective, data circulation is no longer a simple economic transaction process, but emphasizes its unique role in promoting the construction of social networks. From the perspective of economic attributes and social functions, data is not only an economic resource for transactions and value-added, but also carries the establishment of social relationships, cultural values, and social trust. It is an important tool for promoting social interaction and cohesion. From the perspective of resource allocation and relationship building, data circulation not only requires efficient allocation of its economic resource attributes, but also focuses on promoting social trust, cooperation, and sharing, and promoting the formation of social capital and relationships. Interdisciplinary theoretical integration based on digital governance. With the continuous development of digital technology, the governance of the data circulation market has gradually become an important issue in social governance. The traditional governance model can no longer meet the increasingly complex demands of data circulation. Therefore, an interdisciplinary theoretical perspective based on digital governance can provide a more comprehensive and three-dimensional framework for the governance of the data circulation market. This framework needs to start from different disciplinary perspectives, comprehensively analyze the multidimensional relationships in data circulation, reveal the underlying mechanisms, and provide theoretical support and guidance for digital governance practices. From the interdisciplinary integration of information science and governance theory, in the field of digital governance, the governance of data circulation markets not only relies on technological development, but also requires a scientific governance framework to ensure efficient, fair, and sustainable development. Information science provides advanced technological means for data circulation, including big data, cloud computing, artificial intelligence and other technologies, optimizing the storage, transmission, processing and analysis processes of data, and providing strong technical support for data governance. Governance theory focuses on how to effectively organize and manage the various parties involved in data flow, ensuring that the flow of information follows established rules and mechanisms, and ensuring market transparency, fairness, and effectiveness. Therefore, the combination of information science and governance theory can not only provide technical solutions, but also provide a theoretical framework for governance models, thereby providing innovative governance models for digital governance. Complexity and Simplification: The Transformation from Theory to Practice. As a complex social phenomenon involving multiple parties and relationships, the process of data flow governance inevitably faces many challenges. The multidimensionality and cross domain characteristics of data circulation are full of complexity in the governance process, involving issues such as data ownership, usage rights, privacy protection, and data security, which require multi-party collaboration and comprehensive consideration. In order to cope with these complexities, it is necessary to simplify and structure the highly abstract theoretical and complex practical problems, and form a governance framework that adapts to practical needs. Through interdisciplinary integration, theory can be more targeted and transformed into actionable governance models, simplifying complex issues in the application process and improving the operability and execution of data circulation market governance in practice. This transformation can not only reduce governance costs, but also improve governance efficiency, ensuring the healthy and orderly operation of the data circulation market. The innovation of governance framework and the construction of application data circulation market need to be combined with social dynamics and advances in digital technology, develop multidimensional and interdisciplinary data governance models, and construct a governance framework that combines elements such as transparency, accountability, and social responsibility. This framework not only promotes data sharing, but also focuses on enhancing social trust, promoting the construction of social capital, and providing theoretical guidance for the effective governance of the data circulation market. Innovation and tradition: The combination of innovation and tradition is the key to improving governance efficiency and effectiveness. By comparing the innovative governance framework with traditional data governance theory, the advantages and disadvantages of both can be effectively identified in practical applications. The innovative governance framework emphasizes flexibility and adaptability, capable of responding to rapidly changing environments and complex social issues. On this basis, by integrating the advantages of innovation and tradition, not only can the governance model be optimized, but the accuracy of data processing and management can also be improved, thereby achieving more efficient social governance goals. Social responsibility and market efficiency: The governance of the data circulation market not only needs to improve market efficiency, but also needs to pay attention to social responsibility to ensure that social fairness and justice are not sacrificed in market operations. The new governance framework should ensure transparency in the behavior of all parties involved in the governance process and ensure compliance and fairness in data flow through accountability mechanisms. Potential influence provides reference for policy-making. The governance framework of the new data circulation market is based on providing important references for domestic data governance policies, especially in balancing innovative development with social equity, privacy protection, and other aspects. Provide scientific basis for policy-making through innovative theoretical frameworks, while ensuring that policies can be effectively applied in practical operations. While promoting data sharing, it is necessary to ensure privacy protection and social equity, find a balance point, and promote the creation of a sustainable data governance environment. Improve organizational efficiency and decision-making ability. Effective data governance can improve the operational efficiency of organizations, promote technological innovation, and enhance market competitiveness. For example, while pursuing efficiency, enterprises need to balance compliance and social responsibility, ensure that data circulation activities comply with social responsibility and legal regulations, and safeguard public interests. Promote social cohesion and trust building. Data circulation is not only a reflection of economic activities, but also a product of social interaction. By strengthening trust building among stakeholders, promoting data sharing and cooperation, it is expected to enhance social cohesion and strengthen public trust in the digital economy. This will help achieve broader social goals, such as promoting social justice, increasing transparency, and advancing sustainable development. Serve the construction of 'Digital China'. The governance of the data circulation market involves multidimensional issues such as economic benefits, social equity, innovative development, and cultural norms. With the development of the digital economy, data flow governance will become more complex, and innovative governance frameworks need to be continuously optimized and improved to meet future challenges. The governance of the data circulation market is not only an economic issue, but also a public issue. In the future, with the further development of technology and changes in social demands, the governance methods for data circulation will need to be constantly iterated and improved to cope with more complex global challenges. To this end, it is necessary to combine a multidisciplinary theoretical perspective, propose an innovative governance framework, and verify the scientific and practical value of this framework through rigorous empirical research. The effective governance of the data circulation market can not only promote economic development and improve organizational efficiency, but also enhance social cohesion, providing important reference for the construction of "Digital China" and global data governance. Author: Li Gan (Professor at the School of Management, Nanjing University of Posts and Telecommunications)