Deep Time Data Infrastructure: Integrating our current Geologic and Biologic Databases
Authors
Kolankowski, S.
Fox, Peter
Ma, Xiaogang
Prabhu, Anirudh
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Issue Date
2016
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Attribution-NonCommercial-NoDerivs 3.0 United States
Full Citation
Kolankowski S, Fox P, Ma X, Prabhu A 2016, Deep Time Data Infrastructure: Integrating our current Geologic and Biologic Databases, AGU, Abstract#IN41A-1650
Abstract
As our knowledge of Earth’s geologic and mineralogical history grows, we require more efficient methods of sharing immense amounts of data. Databases across numerous disciplines have been utilized to offer extensive information on very specific Epochs of Earth’s history up to its current state, i.e. Fossil record, rock composition, proteins, etc. These databases could be a powerful force in identifying previously unseen correlations such as relationships between minerals and proteins. Creating a unifying site that provides a portal to these databases will aid in our ability as a collaborative scientific community to utilize our findings more effectively. The Deep-Time Data Infrastructure (DTDI) is currently being defined as part of a larger effort to accomplish this goal. DTDI will not be a new database, but an integration of existing resources. Current geologic and related databases were identified, documentation of their schema was established and will be presented as a stage by stage progression. Through conceptual modeling focused around variables from their combined records, we will determine the best way to integrate these databases using common factors. The Deep-Time Data Infrastructure will allow geoscientists to bridge gaps in data and further our understanding of our Earth’s history.
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AGU