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国家科学数据共享服务平台运行绩效评价研究

Empirical Evaluation of the Operational Performance of NationalScientific Data Sharing Service Platforms
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摘要 科学数据平台为推行数据开放共享实践提供基础设施和机构保障,其发展在后疫情时代数据“无接触获取”需求下显得尤为迫切,而良好的运行绩效则是数据平台功能发挥的先决条件。以国家科技资源共享服务平台调整优化名单中20个国家科学数据中心为研究对象,基于平衡记分卡理论建立评价指标体系并对数据平台运行绩效进行评价。研究发现:国家数据平台在服务形式多样化、制度标准建设、数据描述规范化与科研效能发挥等方面取得显著的进步,但仍存在重存储轻共享的“数据貔貅”现象,而数据获取过程繁复、数据时效性不强、不太注重用户参与及知识产权保护等问题也亟待解决。 The scientific data platforms provide an infrastructure and institutional guarantee for the implementation of data open sharing practice and their development is particularly urgent in the post-epidemic era within the need of“contactless access”to data.In addition,good operational performance is a prerequisite for the function realization of the data platforms.This study takes 20 national scientific data centers from the adjustment and optimization list of national scientific and technological resource sharing service platforms as the research object,establishes an evaluation index system based on the Balanced scorecard theory,and then evaluates the operational performance of these data platforms.The results show that these national data platforms have made remarkable progress in the diversification of service,the construction of policies and standards,the standardization of data description,and the exertion of scientific research efficiency through years of continuous development.However,there is still a phenomenon of“data Pixiu”that emphasizes storage and neglects sharing.Moreover,the problems of complicated data acquisition process,weak data timeliness,less emphasis on user participation,and intellectual property protection also need to be solved urgently.
作者 卢祖丹 Lu Zudan(Hohai University Library,Nanjing 211100,China)
机构地区 河海大学图书馆
出处 《中国科技论坛》 CSSCI 北大核心 2024年第5期44-53,64,共11页 Forum on Science and Technology in China
基金 江苏高校哲学社会科学研究项目“科研数据开放共享的经济逻辑与制度构建”(2021SJA0036) 河海大学中央高校基本科研业务费项目“科研数据开放共享的经济逻辑与制度构建”(B210207103)。
关键词 国家科学数据中心 数据共享 绩效评价 平衡记分卡 National scientific data center Data sharing Performance evaluation Balanced scorecard
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