深化数据资源开发利用

Group 1 - The core viewpoint emphasizes the critical role of data as a key resource driving high-quality economic and social development, reshaping industry development logic and operational efficiency [1] - The intelligent connected vehicle industry is highlighted as a data-intensive sector, using data to accelerate the iteration of autonomous driving algorithms and the construction of high-precision maps, contributing significantly to China's global market share in new energy vehicles [1] - As of May 2024, the national government service platform has achieved over 540 billion calls, showcasing the effectiveness of data-driven public service modernization in China [1] Group 2 - The need to solidify the foundation for data resource utilization is emphasized, including the establishment of national and local data development strategies, data ownership, circulation rules, and regulatory responsibilities [2] - In the industrial sector, there is a push for equipment networking and digitalization of production processes to achieve automatic data collection across the entire process [2] - The construction of smart agriculture big data platforms is proposed to integrate data across various agricultural processes, enhancing data completeness, consistency, and timeliness [2] Group 3 - The importance of integrating data with new information technologies such as AI, cloud computing, IoT, and blockchain is stressed to create a collaborative system that maximizes the value of data [3] - A robust security framework is necessary to ensure sustainable data utilization, including compliance with data security laws and the establishment of a classification and protection system for core and important data [3] - The management of data throughout its lifecycle is crucial, focusing on risk monitoring, early warning, and emergency response capabilities to protect personal information and corporate secrets [3]