全球变化科学研究数据出版与共享成果分析(2018)

Statistics and Analysis of the Global Change Research Data Publishing & Sharing (2018)

"全球变化科学研究数据出版系统"进入了第五年(2018年)。本文从2018年出版的数据集、数据作者、数据关联论文和数据共享等方面,对该年出版成果做以总结。在此基础上对数据发展态势进行了分析,对数据出版中存在的问题进行了讨论。成果统计表明,2018年"全球变化科学研究数据出版系统"总计出版了8期168个数据集,出版数据文件3,916个,压缩为277个数据文件包,出版数据量42.49 GB,压缩后出版量为13.31 GB。数据集覆盖区域和亚洲的出版最多(125个),占总出版数据集的74.40%;覆盖全球的数据集4个;跨洲区域的数据集3个。2018年新增数据集作者278位,他们主要来自国内。在出版的数据集中,有43个数据集与数据论文直接关联,有94篇科学发现论文或研究报告与数据集直接关联。新增4,750个IP用户,数据下载次数增加17,147次,下载量增加836.87GB。2014–2018年出版的数据集总被引次数为167次,年平均引用次数为33,数据影响力积分为344.43,平均数据引用期刊影响因子为2.06。其中,2018年数据被学术期刊论文作者引用43次,高于五年平均引用10次,数据影响力积分为138.73,年平均数据引用期刊影响因子为3.27,高于五年平均数据引用期刊影响因子1.17。"全球变化科学研究数据出版系统"获得2018年联合国世界信息峰会奖(电子科学组冠军奖),中国大数据博览会2018领先科技成果奖"入围优秀项目",中国数字化出版博览会"创新项目"荣誉,先后在国内外10所大学(科研院所)开展了百校传播活动。

The Global Change Research Data Publishing&Repository(GCdataPR)has been established for five years(2014–2018).The achievements of the GCdataPR are summarized in this paper with respect to each of the datasets,data authors,data-related discovery papers,data sharing and data impact score(DIS).The communication and progress of the capacity building program on global change research data publishing&sharing in 100 universities is also summarized.Based on the above,this paper analyzed the data development trend and discussed the problems and challenges in data publishing.Results showed that 168 datasets covering 8 issues were published in GCdataPR in 2018,including 3,916 data files(277 compressed files).The online data size is 42.49 GB(13.31 GB compressed).Regarding the areas covered by the dataset,4 datasets are on a global scale,3 are trans-continental and 125(74.40%of the total)are Asian.A total of 278 dataset authors are newly included in GCdataPR in 2018,mainly from China.Among the published datasets,43 are directly related to data papers,and 94 research or discovery papers are directly related to datasets.There are a total of 4,750 new computer IP users,17,147 times of downloads with data size of 836.87 GB in 2018.The total number of dataset citations is 167 in 2014–2018,with a mean annual citation of 33.The DIS is 344.43,with a mean impact factor of 2.06 for journals citing the datasets.The datasets are cited 43 times in 2018 by authors of academic journals,higher than the mean value in the past five years.The DIS of the datasets in 2018 is 138.73,and the mean annual impact factors of journals citing the datasets is 3.27,higher than the mean impact factor of 1.17 during the past five years.In 2018,GCdataPR was awarded the WSIS Prize 2018(e-Science Champion),the honor of Leading Scientific and Technological Achievement—Nominated Outstanding Project at China International Big Data Expo,and the Innovation Project in the 8th China Digital Publishing Expo.