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作 者:秦曼 QIN Man(Chengdu Institute of Science and Technology Information,Chengdu 610031,China)
机构地区:[1]成都市科学技术信息研究所,四川成都610031
出 处:《中国高新科技》2024年第12期40-42,共3页
摘 要:目前,大数据技术广泛应用于生产、科技和管理领域,为了提高信息共享和资源配置的效率,文章以科技创新服务平台建设作为切入点,分析了科技创新服务平台建设期间面临的典型问题。针对缺少体系化标准支撑、数据质量参差不齐、平台重复建设、缺少稳定支持等问题进行深入分析,对各类建设问题提出了专项解决对策。旨在顺利建设功能完善的科技创新服务平台,深入挖掘大数据技术价值,在科技创新服务平台投入使用期间提供技术助力。Currently,big data technology is widely used in the fields of production,technology,and management.In order to improve the efficiency of information sharing and resource allocation,this article takes the construction of science and technology innovation service platforms as the starting point,analyzes the typical problems faced during the construction of science and technology innovation service platforms,and addresses the lack of systematic standard support,uneven data quality,and repeated platform construction.An in-depth analysis was conducted on several issues such as lack of stable support,and specialized solutions were proposed for various construction problems.Aiming to smoothly build a fully functional technology innovation service platform,deeply explore the value of big data technology,and provide technical assistance during the period of putting the technology innovation service platform into use.
关 键 词:大数据视域 科技创新服务平台 建设问题 解决对策
分 类 号:G719[文化科学—职业技术教育学]
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