乔振,荀玥婷.粤苏沪科技数据要素市场化配置分析及启示[J].情报工程,2024,10(5):038-050 |
粤苏沪科技数据要素市场化配置分析及启示 |
Analysis and Enlightenment on Market-oriented Allocation of Scientific and Technological Data Elements in Guangdong, Jiangsu, and Shanghai |
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DOI:10.3772/j.issn.2095-915X.2024.05.004 |
中文关键词: 科技数据;数据要素;市场化配置;数据开放;数据共享 |
英文关键词: Scientific and Technological Data; Data Elements; Market-oriented Allocation; Data Opening; Data Sharing |
基金项目:山东省重点研发计划(软科学)“数据要素市场化配置视角下粤苏沪鲁四省科技数据管理比较研究”(2023RKY04009)。 |
作者 | 单位 | 乔振 | 山东省科学技术情报研究院 济南 250101 | 荀玥婷 | 山东省科技发展战略研究所 济南 250121 |
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中文摘要: |
[目的/意义]探讨广东、江苏和上海科技数据要素市场化配置现状与经验,为山东开展工作提供借鉴。[方法/过程]基于构建的科技数据要素市场化配置分析框架,从总体规划、科技数据要素、科技数据载体、数据主体等方面梳理三省市科技数据要素市场化配置现状和相关典型探索,总结三省市科技数据市场化探索的路径和模式。[结果/结论]三省市进行了科技数据要素配置探索,形成了典型模式,示范性和可借鉴性强。与其相比,山东存在目标不明确、政策标准不完善等问题,应从明确建设目标、完善政策标准、推动数据集聚和应用等方面加强相关工作。 |
英文摘要: |
[Objective/Significance] The current situation and experience of market-oriented allocation of scientific and technological data elements in advanced provinces and cities such as Guangdong, Jiangsu and Shanghai were explored, providing reference for Shandong’s work. [Methods/Processes] Based on the constructed analysis framework for marketoriented allocation of scientific and technological data elements, the current situation and relevant typical explorations of market-oriented allocation of scientific and technological data in Guangdong, Jiangsu, and Shanghai was summarized from the aspects of overall planning, scientific and technological data elements, scientific and technological data carriers, data subjects,and the characteristics and models of market-oriented exploration of scientific and technological data in the three provinces and cities were summarized. [Results/Conclusions] Guangdong, Jiangsu and Shanghai have carried out explorations on the allocation of scientific and technological data elements, forming a work path with strong demonstration and reference value. Compared with them, there are problems such as unclear goals and incomplete policy standards of Shandong. Therefore, efforts should be made to strengthen related work by clarifying construction goals, improving policy standards, and promoting data aggregation and application. |
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