IN026-11
The Deep-time Digital Earth Program: Data Driven Discovery in the Geosciences

Friday, 11 December 2020: 18:00
Virtual
Craig M Schiffries1, Chengshan Wang2, Robert Hazen3, Qiuming Cheng4, Mike Stephenson5, Chenghu Zhou6, Peter Arthur Fox7, Shu-zhong Shen8, Roland Oberhänsli9, Zengqian Hou10, Xiaogang Ma11, Zhiqiang Feng12, Junxuan Fan8, Chao Ma11, Hu Xiumian8, Bin Luo13 and Guoren Wang14, (1)Deep-time Digital Earth, DDE Center of Excellence (Suzhou), Kunshan, China, (2)China University of Geosciences (Beijing), Beijing 100083, China, School of Earth Sciences and Resources, Beijing, China, (3)Carnegie Institution for Science, Earth and Planets Laboratory, Washington, DC, United States, (4)China University of Geosciences, State Key Lab of Geological Processes and Mineral Resources, Beijing, China, (5)British Geological Survey, Nottingham, United Kingdom, (6)Chinese Academy of Sciences, State Key Laboratory of Resources and Environment Information System, Institute of Geographical Science and Natural Resources, Beijing, China, (7)Rensselaer Polytechnic Institute, Tetherless World Constellation, Troy, NY, United States, (8)Nanjing University, School of Earth Sciences and Engineering, Nanjing, China, (9)Potsdam University, Institute of Earth and Environmental Sciences, Potsdam, Germany, (10)Chinese Academy of Geological Sciences, Institute of Geology, Beijing, China, (11)University of Idaho, Department of Computer Science, Moscow, ID, United States, (12)Sinopec, Petroleum Exploration & Production Research Institute, Beijing, China, (13)Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Beijing, China, (14)Beijing Institute of Technology, School of Computer Science & Technology, Beijing, China
Abstract:
The mission of the Deep-time Digital Earth (DDE) program is to harmonize and integrate deep-time Earth data, share global geoscience knowledge, advance geoscience understanding, and foster a deep-time data driven research paradigm. The vision of DDE is to transform Earth science through deep-time data driven discovery. However, several barriers hinder such transformation: (1) substantial volumes of deep-time Earth data are not available in well-characterized digital formats; (2) many databases do not comply with the FAIR (findable, accessible, interoperable and reusable) principles for scientific data management and stewardship; (3) a standard knowledge graph has not been widely developed for deep-time Earth data; (4) most deep-time Earth databases are not well integrated; (5) existing databases are geographically heterogeneous; (6) a significant fraction of deep-time Earth data is not yet available in open-access formats; and (7) tailored tools are needed for analysis of deep-time Earth data, owing to their wide range of spatial and temporal heterogeneity. These challenges motivated DDE to become the first “big science program” recognized 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 is building on previous research to develop a standard knowledge graph, a FAIR data infrastructure that links existing databases and makes dark data visible, and tailored analytical tools for deep-time Earth data, which are open to the world. A goal of DDE is to enable easy access to deep-time Earth data and facilitate data-driven study of Earth’s evolution, including evolution of life, Earth materials, geography, and climate. DDE also aims to address applied geological problems related to energy and resource security, modern climate change, and the UN’s Sustainable Development Goals. This presentation introduces the mission, vision, research plan, structure, and outlook of the DDE program.
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