Article(id=1242138880581903343, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138854459781448, articleNumber=null, orderNo=15, doi=10.3981/j.issn.1000-7857.2021.01.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1609603200000, receivedDateStr=2021-01-03, revisedDate=1610035200000, revisedDateStr=2021-01-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1615356693247, onlineDateStr=2021-03-10, pubDate=1610467200000, pubDateStr=2021-01-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1615356693247, onlineIssueDateStr=2021-03-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078586951, creator=sys-migrate, updateTime=1774078586951, updator=sys-migrate, issue=Issue{id=1242138854459781448, tenantId=1146029695717560320, journalId=1146031591421210625, year='2021', volume='39', issue='1', pageStart='1', pageEnd='276', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078580723, creator=sys-migrate, updateTime=1774078580723, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=105, endPage=114, ext={EN=ArticleExt(id=1242138885367603229, articleId=1242138880581903343, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Review of the progress of earth data science and sharing in 2020, columnId=1242138872986022256, journalTitle=Science & Technology Review, columnName=Exclusive: Science and Technology Review in 2020, runingTitle=null, highlight=null, articleAbstract=Earth data science is combination of earth science and data science, and is a frontier cross field of earth science research and a paradigm shift of data-driven scientific discovery. This paper reviews the progress of big earth data research in 2020 from the aspects of earth data science program, scientific data governance, and earth science data sharing. It focuses on the Deep-Time Digital Earth Science Program, Big Earth Data Science Engineering Project and achievements in global data aggregation, authentication, repository, policies, standards, and identification, as well as practices of the earth science data centers, databases, data models, data integration, and data publishing. The paper also points out that it is still an urgent need to pay full attention to the rules of scientific data governance, promote the development of earth science big data programme, strengthen the establishment of earth science data ecology, and improve all aspects of cooperation in the field of earth science data., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=ZyX01tMtTjwXQAHpfnSJWA==, pdfFileSize=3846094, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information Systems, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China;
4. School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China;
5. Institute of Disaster Prevention, Sanhe 065201, China, fund=null, authors=WANG Juanle^1,2, WANG Yujie¹, ZHANG Min^1,2, JIANG Han^1,3, HONG Mengmeng^1,4, LI Shuhan^1,5, authorsList=WANG Juanle, WANG Yujie, ZHANG Min, JIANG Han, HONG Mengmeng, LI Shuhan), CN=ArticleExt(id=1242138883891208200, articleId=1242138880581903343, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=2020年地球数据科学与共享热点回眸, columnId=1242138871576736104, journalTitle=科技导报, columnName=专题：2020年科技热点回眸, runingTitle=null, highlight=null, articleAbstract=地球数据科学是地球科学与数据科学的结合，是地球科学研究与数据驱动科学发现范式转变的前沿交叉领域。在地球大数据研究快速兴起的背景下，从地球数据大科学计划、科学数据治理和地球科学数据共享等方面回顾了2020年的进展。介绍了深时数字地球大科学计划、地球大数据科学工程，以及全球数据汇聚、数据认证、数据仓储、数据政策、数据标准、数据标识等方面的进展和地球科学数据中心、数据库、数据模型、数据集成和数据出版等实践。展望未来，充分重视科学数据治理的规则，推动地球科学大数据计划发展，加强建立地球科学数据生态，促进地球科学数据领域的各方面合作，仍然是当前的紧迫需求。, correspAuthors=null, authorNote=王卷乐,研究员,研究方向为资源环境科学数据集成与共享,电子信箱:wangjl@igsnrr.ac.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=/Qgb4sG0hjmq8HILs8aUhA==, pdfFileSize=3846094, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 中国科学院地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 北京 100101;
2. 中国科学院大学, 北京 100049;
3. 江苏海洋大学海洋技术与测绘学院, 连云港 222005;
4. 山东理工大学建筑工程学院, 淄博 255049;
5. 防灾科技学院, 三河 065201, fund=中国科学院战略性先导科技专项（XDA19040501）；国家科技基础条件平台专项（2020WT22）, authors=王卷乐^1,2, 王玉洁¹, 张敏^1,2, 蒋涵^1,3, 洪梦梦^1,4, 李姝晗^1,5, authorsList=王卷乐, 王玉洁, 张敏, 蒋涵, 洪梦梦, 李姝晗)}, authors=null, keywords=[Keyword(id=1242138881957635069, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138880581903343, language=CN, orderNo=1, keyword=地球科学), Keyword(id=1242138882045715454, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138880581903343, language=CN, orderNo=1, keyword=数据科学), Keyword(id=1242138882146378751, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138880581903343, language=CN, orderNo=1, keyword=数据共享), Keyword(id=1242138883652132865, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138880581903343, language=CN, orderNo=1, keyword=数据治理), Keyword(id=1242138883727630339, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138880581903343, language=CN, 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