The Deep-Time Digital Earth program: data-driven discovery in geosciences
Chengshan Wang1, Robert M Hazen2, Qiuming Cheng3
1State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China.
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.
More Related Videos
Related Concept Videos
GIS Software, Hardware, and Sources of GIS Data
Selected Data About Geographic Locations
Conditions on Early Earth
Gravimetry: Overview
In precipitation gravimetry, the analyte is converted into a precipitate and weighed. For example, the silver content in a sample can be estimated by precipitating and...
Levels of Use of a GIS
Methods of Obtaining Topography


