Japan Geoscience Union Meeting 2021

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[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI31] Open and FAIR Science: Data Sharing, e-Infrastructure, Data Citation and Reproducibility

Thu. Jun 3, 2021 1:45 PM - 3:15 PM Ch.03 (Zoom Room 03)

convener:Baptiste Cecconi(LESIA, Observatoire de Paris, CNRS, PSL Research University), Yasuhiro Murayama(Strategic Program Produce Office, National Institute of Information and Communications Technology), Yasuhisa Kondo(Research Institute for Humanity and Nature), Shelley Stall(American Geophysical Union), Chairperson:Baptiste Cecconi(LESIA, Observatoire de Paris, CNRS, PSL Research University), Yasuhisa Kondo(Research Institute for Humanity and Nature)

3:00 PM - 3:15 PM

[MGI31-06] A big data system in Deep-time Digital Earth Science Program

★Invited Papers

*Juanle Wang1 (1.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences)

Keywords:Big data, earth science, deep time, data sharing, data integration

The Deep-time Digital Earth (DDE) is an innovative and international Big Science Program that will provide new opportunities and directions for the Earth Sciences. DDE was formally initiated as the first IUGS Big Science Program at an International Union of Geological Sciences (IUGS) event in early 2019 in Beijing, China. Big data system is the core of DDE. The vision of DDE big data system is to harmonize and Share Earth Evolution Science Data Everywhere. Its mission is to establish the fusion mechanism of multi-source heterogeneous distribution geoscience data, and integrate multi-source deep time earth science data. The main tasks of the Big Data System include: to formulate an open and shared global scientific evolution data aggregation and sharing mechanism, to manufacture standards and norms for data integration and sharing of the Earth evolution science, and to build a DDE big data system and its corresponding software platform, to research and tackle key data science and technology such as data-driven geoscience discovery oriented to domestic and international application requirements of disciplines and regions, to establish global geoscience databases via 4 kinds of data nodes, i.e., regional node, discipline node, industry node, and interest node. Focusing on the major scientific issues of earth evolution and centering on all disciplines of solid earth science, the earth science knowledge map established based on the large knowledge system provides powerful data support for the establishment of the world's leading one-stop processing and analysis collaborative research platform. A initially progress has been made in 2020 and it has a research and cooperation plan in 2021 under the open science background.