Core Insights - The report presented by Professor Zhao Xi focuses on the national data infrastructure policy framework and introduces the "INDDIGO" industry data infrastructure prototype system, emphasizing the importance of data as a strategic national resource comparable to electricity and communication [1][2]. Group 1: National Data Infrastructure - Data is increasingly recognized as a strategic national resource, necessitating a coordinated approach to build an efficient and trustworthy infrastructure network for data circulation and value transformation [1]. - The report highlights the need for a top-level design and systematic implementation of data infrastructure to support large-scale data flow and value creation [1]. Group 2: INDDIGO Prototype System - The "INDDIGO" system integrates four technological frameworks: blockchain, token technology, privacy computing, and data governance, aiming to address key issues such as weak data supply willingness and unclear distribution mechanisms [2]. - The system is designed to facilitate a data value co-creation infrastructure, focusing on key technological breakthroughs and economic models for data circulation [2]. Group 3: Application and Collaboration - Several enterprises and institutions have expressed interest in collaborating on the implementation of the INDDIGO system in various sectors, including government data integration and healthcare finance [3]. - The development of the INDDIGO system is the result of over a decade of technological accumulation and policy observation, addressing the core issue of lacking foundational infrastructure for data value circulation [3].

Core Viewpoint - Liaoning Province has become the first in the country to implement a three-year action plan for the construction and operation of data infrastructure from 2025 to 2027, aiming to enhance industrial transformation and high-quality development through a "dual-chain" model of data and industry [1] Group 1: Action Plan and Objectives - The action plan includes a key task list for 2025 and aims to leverage data infrastructure to release the value of data elements, facilitating industrial transformation [1] - The "dual-chain" model integrates data chains and industrial chains to empower the real economy, focusing on sectors such as petrochemicals, metallurgy, and healthcare [1][2] Group 2: Implementation and Expected Outcomes - The "demonstration samples" outline the overall situation of the industry, the current state of the industrial chain and data infrastructure, and the specific goals for empowering industrial transformation through the dual-chain approach [2] - Future steps include accelerating the transformation of sample industries, establishing collaborative mechanisms, and promoting significant breakthroughs in data utilization and supply chain collaboration [2] - The initiative aims to create a long-tail effect within the province's industrial chain and a radiation effect for other industrial chains, ultimately injecting new momentum into the province's economic and social development [2]

Core Viewpoint - The government is increasing financial support for the construction of long-term data infrastructure projects, emphasizing the importance of foundational and public data systems [1] Group 1 - The national data bureau announced that the central government will continue to increase fiscal funding to support local and industry-specific foundational data infrastructure projects [1] - The government plans to effectively utilize ultra-long-term special treasury bond funds to accelerate the establishment of a national data infrastructure framework [1] - There is a focus on expediting the development of a national data infrastructure plan in alignment with the "14th Five-Year Plan" [1]

Group 1 - The core viewpoint is that Tianjin has been approved to establish a national digital economy innovation development pilot zone, focusing on optimizing data infrastructure and accelerating the construction of a data network [1] - The data infrastructure aims to provide services for data collection, aggregation, transmission, processing, circulation, utilization, operation, and security, which are essential for releasing the value of data elements [1] - The data network will consist of data circulation access terminals, networks, and service platforms, aiming to create a secure and trustworthy environment for data circulation across various levels and sectors [1] Group 2 - The data network allows for "raw data not leaving the domain, data being usable but invisible," facilitating the open sharing of government data and efficient circulation of public and enterprise data [2] - An action plan for accelerating the construction of the data network over the next three years is being formulated, with specific districts identified for pilot applications [3] - Initial applications will cover 17 key areas, including healthcare, industrial manufacturing, transportation, and financial services, utilizing privacy computing technology to break down data barriers [3]