Wang Chengshan, Hazen Robert M, Cheng Qiuming, Stephenson Michael H, Zhou Chenghu, Fox Peter, Shen Shu-Zhong, Oberhänsli Roland, Hou Zengqian, Ma Xiaogang, Feng Zhiqiang, Fan Junxuan, Ma Chao, Hu Xiumian, Luo Bin, Wang Juanle, Schiffries Craig M
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China.
Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC 20015, USA.
Natl Sci Rev. 2021 Feb 11;8(9):nwab027. doi: 10.1093/nsr/nwab027. eCollection 2021 Sep.
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.
当前阻碍深时地球（DE）数据驱动发现的障碍包括：大量深时数据未数字化；许多深时数据库未遵循FAIR（可查找、可访问、可互操作和可重复使用）原则；我们缺乏深时的系统知识图谱；现有深时数据库在地理上具有异质性；很大一部分深时数据不是开放获取格式；需要量身定制的工具。这些挑战推动了由国际地质科学联合会发起并与世界各国地质调查机构、专业协会、学术机构和科学家合作开展的深时数字地球（DDE）计划。DDE的使命是在以往研究的基础上，开发一个系统的深时知识图谱、一个将现有数据库链接起来并使暗数据可见的FAIR数据基础设施，以及供深时数据使用的、普遍可访问的量身定制工具。DDE旨在协调深时数据、共享全球地球科学知识，并促进在理解地球演化过程中进行数据驱动的发现。
