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作 者:马荣华[1,2] 许金朵 侯渲[1,2] 王贞 MA Ronghua;XU Jinduo;HOU Xuan;WANG Zhen(Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,P.R.China;Lake-Watershed Sub Data Center,National Earth System Science Data Center,Nanjing 210008,P.R.China)
机构地区:[1]中国科学院南京地理与湖泊研究所,南京210008 [2]国家地球系统科学数据中心湖泊-流域分中心,南京210008
出 处:《中国科学数据(中英文网络版)》2023年第4期203-216,共14页China Scientific Data
摘 要:科学数据重用可以促进科学研究过程的共享与合作,使数据资源得到更优化的配置。湖泊科学数据作为重要基础性战略资源之一,支撑国家科技创新、经济社会发展和国家生态文明建设。湖泊科学数据共享逐渐成为我国国家科技创新体系建设的重要内容。本文归纳了湖泊数据生产的主要渠道,详细介绍了湖泊数据主要数据类型及数据格式,总结了国内外湖泊科学数据的共享现状,提出了以规范制度为保障、数据分级分类为基础、服务平台为依托、分级共享服务为手段的一种湖泊科学数据共享的路径和方法,总结了湖泊数据共享的制度措施,对湖泊科学数据共享在新形势下的进一步发展提出了建议,以推动构建湖泊科学数据共享的新模式和湖泊科学研究的新范式,促进湖泊科学的发展和进步。The reuse of scientific data can foster the sharing and collaboration of research processes,facilitating a more efficient allocation of data resources.Lake scientific data,as an important fundamental strategic resources,play a crucial role in driving national scientific and technological innovation,fostering economic and social development,and advancing the construction of a national ecological civilization.The sharing of scientific data pertaining to lakes has gradually emerged as an important part of China's national scientific and technological innovation system construction.This research synthesizes the primary channels for lake data production,offering a comprehensive overview of the main data types and formats of lake data from the perspective of lake discipline as an interdisciplinary discipline,and summarizes the current situation of sharing scientific data on lakes both domestically and internationally.Furthermore,this paper also proposed strategies and methodologies for facilitating sharing scientific data related to lakes based on standardized systems,data classification,service platforms,and hierarchical sharing services.In this study,we concluded the institutional measures for lake data sharing,and provided insights for the further development of lake science data sharing under new circumstances.This research is undertaken with the aim of fostering the transformation of lake science data sharing modes under the new paradigm of lake science research.
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