Author
Wang, C.; Hazen, Robert; Cheng, Q.; Stephenson, MH.; Zhou, C.; Fox, Peter; Shen, SZ.; Oberhänsli, R.; Hou, Z.; Ma, Xiaogang; Feng, Z.; Fan, J.; Ma, C.; Hu, X.; Luo, B.; Wang, J.; Schiffries, CM.
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Date Issued
2021-02-11
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Full Citation
Wang C, Hazen RM, Cheng Q, Stephenson MH, Zhou C, Fox P, Shen SZ, Oberhänsli R, Hou Z, Ma X, Feng Z, Fan J, Ma C, Hu X, Luo B, Wang J, Schiffries CM. The Deep-Time Digital Earth program: data-driven discovery in geosciences. Natl Sci Rev. 2021 Feb 11;8(9):nwab027. doi: 10.1093/nsr/nwab027. PMID: 34691735; PMCID: PMC8433093.
Abstract
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.;
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National Science Review
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