The Deep-Time Digital Earth program: data-driven discovery in geosciences
文献类型：期刊论文
| 作者 | Wang, Chengshan12,13; Hazen, Robert M.11; Cheng, Qiuming10; Stephenson, Michael H.9; Zhou, Chenghu8 ; Fox, Peter7; Shen, Shu-zhong6; Oberhansli, Roland5; Hou, Zengqian4; Ma, Xiaogang3
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| 刊名 | NATIONAL SCIENCE REVIEW
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| 出版日期 | 2021-09-01 |
| 卷号 | 8期号:9页码:11 |
| ISSN号 | 2095-5138 |
| 关键词 | Deep-Time Digital Earth data-driven discovery big data Earth evolution cyberinfrastructure |
| DOI | 10.1093/nsr/nwab027 |
| 通讯作者 | Wang, Chengshan(wang.chengshan@ddeworld.org) |
| 英文摘要 | Current barriers hindering data-driven discoveries in deep-time Earth (DE) include: substantial volumes of DE data are not digitized; many DE databases do not adhere to FAIR (findable, accessible, interoperable and reusable) principles; we lack a systematic knowledge graph for DE; existing DE databases are geographically heterogeneous; a significant fraction of DE data is not in open-access formats; tailored tools are needed. These challenges motivate the Deep-Time Digital Earth (DDE) program initiated by the International Union of Geological Sciences and developed in cooperation with national geological surveys, professional associations, academic institutions and scientists around the world. DDE's mission is to build on previous research to develop a systematic DE knowledge graph, a FAIR data infrastructure that links existing databases and makes dark data visible, and tailored tools for DE data, which are universally accessible. DDE aims to harmonize DE data, share global geoscience knowledge and facilitate data-driven discovery in the understanding of Earth's evolution. |
| WOS关键词 | DATA INTEGRATION ; EVOLUTION ; SYSTEM ; VISUALIZATION ; INFORMATION ; PLATFORM ; TRENDS |
| 资助项目 | National Natural Science Foundation of China[41888101] ; National Key R&D Program of China[2018YFE0204204] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| 出版者 | OXFORD UNIV PRESS |
| WOS记录号 | WOS:000701659300014 |
| 资助机构 | National Natural Science Foundation of China ; National Key R&D Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166047]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Chengshan |
| 作者单位 | 1.DDE Ctr Excellence Suzhou, Kunshan 215300, Peoples R China 2.SINOPEC, Petr Explorat & Prod Res Inst, Beijing 100083, Peoples R China 3.Univ Idaho, Dept Comp Sci, Moscow, ID 83844 USA 4.Chinese Acad Geol Sci, Inst Geol, Beijing 100037, Peoples R China 5.Univ Potsdam, Inst Earth & Environm Sci, D-14476 Potsdam, Germany 6.Nanjing Univ, Sch Earth Sci & Engn, Nanjing 210023, Peoples R China 7.Rensselaer Polytech Inst, Tetherless World Constellat, Troy, NY 12180 USA 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources, State Key Lab Resource & Environm Informat Syst, Beijing 100101, Peoples R China 9.British Geol Survey, Nottingham NG12 5GG, England 10.China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Beijing 100082, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Chengshan,Hazen, Robert M.,Cheng, Qiuming,et al. The Deep-Time Digital Earth program: data-driven discovery in geosciences[J]. NATIONAL SCIENCE REVIEW,2021,8(9):11. |
| APA | Wang, Chengshan.,Hazen, Robert M..,Cheng, Qiuming.,Stephenson, Michael H..,Zhou, Chenghu.,...&Schiffries, Craig M..(2021).The Deep-Time Digital Earth program: data-driven discovery in geosciences.NATIONAL SCIENCE REVIEW,8(9),11. |
| MLA | Wang, Chengshan,et al."The Deep-Time Digital Earth program: data-driven discovery in geosciences".NATIONAL SCIENCE REVIEW 8.9(2021):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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