郭锐、陈凯华：构建自主体系对抗数据主权威胁

Core Viewpoint - The recent actions by the U.S. National Institutes of Health (NIH) to restrict access to key databases for Chinese researchers and the recommendation from the U.S. National Security Council to ban biotechnology and data cooperation with China indicate a significant escalation in U.S. efforts to control scientific data, highlighting the strategic importance of data sovereignty in the context of rising international tensions [1] Group 1: Importance of Scientific Databases - Scientific databases are becoming a critical area in scientific research paradigms and technological competition, transitioning from "experiment-driven" to "data-driven" research [1] - High-quality, open-access scientific databases are seen as strategic assets for innovation and enhancing technological competitiveness, with countries like Germany investing in national research data infrastructures [1] Group 2: Current State of China's Scientific Data Resources - China has established 20 national scientific data centers and 31 national resource repositories, but there are still gaps in openness, comprehensiveness, and international competitiveness [2] - The relatively recent establishment of some scientific databases, such as the national scientific data centers in 2019, has resulted in low data quality and sharing levels, limiting the efficiency and value of data usage [2] - The current scientific data management in China is fragmented, with insufficient standardization and collaboration mechanisms, hindering effective data utilization [2] Group 3: Strategic Goals for China's Scientific Data Ecosystem - Building a self-controlled scientific data ecosystem is crucial for enhancing national research capabilities and avoiding reliance on international data sources that may pose political risks [3] - Leveraging China's rich scientific data resources can strengthen domestic research and support high-quality foundational research [3] - Improving data governance and resource control will enhance China's voice in scientific data and international technological competition, contributing to national technological sovereignty [3] Group 4: Proposed Pathways for Development - Strengthening strategic planning and infrastructure for scientific data, including significant funding for national AI and high-performance computing platforms [4] - Implementing a tiered open-sharing system for scientific data, encouraging high-level openness for foundational and result-oriented data [4] - Establishing a standardized and professional data management system to ensure quality control and long-term maintenance of scientific data [4] - Enhancing incentives for data construction and establishing data security mechanisms to protect data throughout its lifecycle [4] - Promoting deep integration of scientific data with industrial applications to enhance the efficiency of scientific data in sectors like smart manufacturing and biomedicine [5]