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打造生物医药“数据引擎” 张江科学大数据创新实验室启用
Jie Fang Ri Bao· 2025-08-30 02:19
Core Insights - The Zhangjiang Scientific Big Data Innovation Laboratory has officially opened in Shanghai's Pudong New Area, marking a significant step in the market-oriented allocation of data elements in the region [1] - The laboratory focuses on health and medical data, aiming to create a diversified data supply system by integrating municipal, regional, and market data [1] - The laboratory is set to achieve operational effectiveness by 2025, targeting to serve over 100 enterprises, collaborate with more than 10 development entities, and establish over 10 benchmark cases [1] Group 1 - The laboratory employs a strict tiered management system (red, yellow, green zones) to ensure a secure and controllable development environment for biopharmaceutical companies [1] - The initiative aims to enhance the value of data elements and contribute to the high-quality development of leading industries in Pudong New Area [1] - The launch of the laboratory is expected to inject new vitality into the digital economy of Pudong and support the construction of a new ecosystem for the market-oriented allocation of data elements [1] Group 2 - Several biopharmaceutical and data technology companies signed cooperation agreements with the laboratory, covering areas such as data supply, technology development, compliance review, and data pricing [2] - The establishment of the "Pudong Smart Development Expert Database" aims to gather industry experts to provide high-level intellectual support for public data development and utilization [2] - The release of the "Technical Specifications for Trusted Data Space in Health and Medical Fields" provides important technical standards and practical guidelines for data security and compliance in the healthcare sector [2] Group 3 - During a subsequent enterprise forum, companies expressed appreciation for Pudong's innovative mechanisms in promoting the open utilization of public data, particularly in health and medical sectors [3] - Experts from various enterprises provided suggestions for the laboratory's development, emphasizing the need for integration of multi-omics, in vitro experiments, clinical data, medical records, and scientific literature [3] - There is a call for improved supporting services, including comprehensive computational tools, operational environments, and intelligent analysis processes [3]