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中国湖泊科学数据共享的路径和方法

马荣华 许金朵 侯渲 王贞

中国科学数据(中英文网络版)2023,Vol.8Issue(4):203-216,14.
中国科学数据(中英文网络版)2023,Vol.8Issue(4):203-216,14.DOI:10.11922/11-6035.csd.2023.0110.zh

中国湖泊科学数据共享的路径和方法

Strategies and methodologies for facilitating lake data sharing in China

马荣华 1许金朵 1侯渲 1王贞1

作者信息

  • 1. 中国科学院南京地理与湖泊研究所,南京 210008||国家地球系统科学数据中心湖泊-流域分中心,南京 210008
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摘要

Abstract

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.

关键词

湖泊数据/数据共享/分级分类/共享路径/共享方法/新范式

Key words

lake data/data sharing/hierarchical classification/shared strategy/sharing methodology/new paradigm

引用本文复制引用

马荣华,许金朵,侯渲,王贞..中国湖泊科学数据共享的路径和方法[J].中国科学数据(中英文网络版),2023,8(4):203-216,14.

基金项目

本研究得到中国科学院"十四五"网络安全和信息化专项(CAS-WX2022SDC-SJ05,CAS-WX2021SF-0306)资助. (CAS-WX2022SDC-SJ05,CAS-WX2021SF-0306)

中国科学数据(中英文网络版)

OACSCDCSTPCD

2096-2223

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