2018年中国地理学会数据成果科学影响力排行榜榜首解析

Analysis to the Highest Impact Dataset 2018 from the Geographical Society of China

2018年8月28日,中国地理学会在2018年中国地理学大会上发布了"全球变化科学研究数据出版、传播与科学影响力排行榜"。《青藏高原范围与界线地理信息系统数据》(作者:张镱锂、李炳元、郑度)以数据成果科学影响力积分67.844,3的总成绩荣获中国地理学会2018年数据成果科学影响力排行榜第一名。本文从数据内容、数据作者、数据研发资助基金项目、数据政策、数据出版、数据传播渠道、数据被引用、数据科学影响力积分等方面分析了该数据之所以能够位居"2018年中国地理学会数据成果科学影响力排行榜"榜首的原因。追朔三位作者对青藏高原研究的学术底蕴,如果从1987年李炳元先生发表的《青藏高原的范围》一文算起,至2014年《青藏高原范围与界线地理信息系统数据》的出版,三位作者在青藏高原范围和界线划定地理信息系统数据方面的研究,在地貌学、自然地理学、高原生态学、地理信息系统、地理数据等多领域融合方向上经历了27年执着探索。随着地理大数据的发展,数据用户对数据空间分辨率的要求越来越高。《青藏高原范围与界线地理信息系统数据》从1∶100万比例尺分辨率向更高空间分辨率、甚至米级分辨率的更新需求也向数据作者提出了新的任务。从数据浏览、数据下载到数据引用的情况也可以看出数据应用者在数据使用后的标引还不很规范,"用而不引"、"引不规范"等现象亟待改进。《青藏高原范围与界线地理信息系统数据》案例表明,数据的再应用是继续挖掘数据价值和发挥科学数据价值最重要的途径,数据科学影响力积分有助于度量数据再应用的动态变化和促进数据价值的发挥,有利于推动科学数据知识产权保护、提升科学研究速度和节约国家公共科研经费。

On August 28,2018,the Geographical Society of China(GSC)established a Big Geographic Data Working Committee(GSC_BigData)and released the Dataset Impact Ranking 2018 of the Geographical Society of China based on methodology of Data Impact Score(DIS)and the statistics of dataset citations and the related journal impact factor.The"Datasets of the boundary and area of the Tibetan Plateau"(Zhang,Y.L.,Li,B.Y.,and Zheng,D.),which was published in June 2014,was ranked the first place with the total DIS of 67.844,3 in the last five years.The authors analyzed the reasons why this dataset can rank first from the perspectives of data content,data authors,funding,data policy,data publication,data dissemination,and data citation.From1987,when the paper"On the extent of the Qinghai-Xizang(Tibet)Plateau"was published by Prof.Li,to 2014,when the"Datasets of the boundary and area of the Tibetan Plateau"was finally published,the authors experienced 27 years of research in that area.With the development of big geographic data,the demand of data users for spatial resolution has been increasingly higher.The updated demand of the authors of"Datasets of the boundary and area of the Tibetan Plateau"from1∶1,000,000 to higher spatial resolution and even the meter-level resolution has given a new mission to the dataset.From data browsing,data downloading,and data citation,we find that the current citation is not standardized for the users of the data.Many unstandardized phenomena,such as"using the data without citation"or"citing the data but not standardized",need to be improved.The case of"Datasets of the boundary and area of the Tibetan Plateau"shows that data reuse is the most important way to continue mining the data value and developing their scientific value.DIS is helpful to measure the dynamic change of data reusing and to promote the development of the data value,which will facilitate the protection of intellectual property rights of scientific data,promote the efficiency of scientific research,and provide savings in the national public scientific research funds.