Abstract：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.
卢祖丹. 国家科学数据共享服务平台运行绩效评价研究[J]. 中国科技论坛, 2024(5): 44-53.
Lu Zudan. Empirical Evaluation of the Operational Performance of National Scientific Data Sharing Service Platforms. , 2024(5): 44-53.
[1]中华人民共和国中央人民政府.科技部财政部发布国家科技资源共享服务平台优化调整名单[EB/OL].(2019-06-11)[2023-02-28].http://www.gov.cn/xinwen/2019-06/11/content_5399105.htm. [2]CRAGIN M H,PALMER C L.Data sharing,small science and institutional repositories[J].Philosophical Transactions of the Royal Society A:Mathematical Physical and Engineering Science,2010,368(1926):4023-4038. [3]FANIEL I M,KRIESBERG A,YAKEL E.Social scientist's satisfaction with data reuse[J].Journal of the Association for Information Science and Technology,2016,67(6):1404-1416. [4]KIM Y,BURNS C S.Norms of data sharing in biological sciences:the roles of metadata,data repository,and journal and funding requirements[J].Journal of Information Science,2016,42(2):230-245. [5]HUANG S L,LIN S C,CHANG Y C.Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing[J].Information Processing and Management,2012,48(4):599-617. [6]KIM Y.Fostering scientists' data sharing behaviors via data repositories,journal supplement,and personal communication methods[J].Information Processing and Management,2017,53(4):871-885. [7]中华人民共和国科学技术部.关于开展国家科技基础条件平台认定和绩效考核工作的通知[EB/OL].(2011-08-05)[2023-03-15].https://www.most.gov.cn/xxgk/xinxifenlei/fdzdgknr/qtwj/qtwj2011/201108/t20110805_88852.html [8]李佳,王宏起,李玥,等.基于组合赋权与规则的区域科技资源共享平台综合绩效评价研究——以黑龙江省科技创新创业共享服务平台为例[J].情报杂志,2018(8):172-180. [9]李赞梅,胡志民,孙海霞,等.国家人口与健康科学数据共享平台资源综合评价指标构建研究[J].中国数字医学,2018,13(3):2-4. [10]王瑞丹,陈祖刚,石蕾,等.复杂场景下科学数据中心运行状况评价模型研究[J].中国科技资源导刊,2022,54(2):27-34. [11]司莉,华小琴.中国科学数据共享平台的服务效能分析[J].图书馆工作与研究,2014(4):24-26. [12]姜恩波,潘婷,张蒂.基于FAIR原则的地球科学数据中心调研与评估分析[J].图书馆学研究,2023(4):52-69. [13]SI L,LI Y T,ZHUANG X Z,et al.An empirical study on the performance evaluation of scientific data sharing platforms in China[J].Library Hi Tech,2015,33(2):211-229. [14]陈丽娜,司海平,方沩,等.国家科技基础条件平台服务绩效评价研究[J].科技管理研究,2016(18):262-266. [15]魏亚运,武思宏,任孝平,等.创新资源共享平台应用效果绩效评价研究——以科学仪器制造行业为例[J].科技管理研究,2021(3):40-45. [16]杨周,张玲玲.基于平衡记分卡的科研学术机构信息化指数评价指标研究[J].科技管理研究,2013,33(24):53-59.[17]周娜.广东省高等教育科研创新绩效评价及影响因素研究[J].产业创新研究,2022(18):109-113. [18]刘俊婉,黄晨晨,潘云涛,等.项目负责人视角下的跨学科科研团队绩效影响因素组态分析[J].情报工程,2022,8(6):66-77. [19]刘岩芳,李梅芳.高校科研团队创造力影响因素实证研究:基于国内高校228份问卷样本分析[J].中国高校科技,2022(7):1-7. [20]CANDELA L,ASSANTE M,TANI A,et al.Are scientific data repositories coping with research data publishing[J].Data Science Journal,2016,15(6):1-24. [21]赵新泉,彭勇行.管理决策分析[M].北京:科学出版社,2008. [22]卢祖丹.我国高校图书馆数据素养服务供给实证评价研究[J].图书馆杂志,2020,39(10):63-70. [23]国家人口健康科学数据中心.年度发展大事记[EB/OL].(2022-12-31)[2023-02-28].https://www.ncmi.cn/phda/support.html?type=aboutus. [24]国家空间科学数据中心.国家空间科学数据中心简介[EB/OL].(2022-12-31)[2023-02-28].https://www.nssdc.ac.cn/mhsy/html/aboutus_center.html. [25]国家青藏高原科学数据中心.关于我们[EB/OL].(2022-12-31)[2023-02-28].https://data.tpdc.ac.cn/about. [26]科学网.在科技管理中,让科学数据“开放共享”[EB/OL].(2022-06-01)[2023-02-28].https://news.sciencenet.cn/htmlnews/2022/6/480134.shtm. [27]司莉,李月婷,邢文明,等.我国科学数据共享平台绩效评估实证研究[J].图书馆理论与实践,2014(9):30-35. [28]KHAN N,THELWALL M,KOUSHA K.Are data repositories fettered?A survey of current practices,challenges and future technologies[J].Online Information Review,2022,46(3):483-502. [29]卢祖丹.科研数据开放共享的经济逻辑与制度安排[J].科学学研究,2022,40(9):1661-1667. [30]房小可.基于关联数据的高校图书馆科学数据组织研究[J].图书馆建设,2013(10):31-34. [31]沈志宏,刘筱敏,郭学兵,等.关联数据发布流程与关键问题研究:以科技文献、科学数据发布为例[J].中国图书馆学报,2013(2):53-62.
2024, 
