Ocean observatories initiative scientific data model

Claudiu Farcas, Michael Meisinger, David Stuebe, Christopher Mueller, Tim Ampe, Matthew Arrott, Alan Chave, Emilia Farcas, John Graybeal, Ingolf Krueger, Maurice Manning, John Orcutt, Oscar Schofield, Frank Vernon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The Ocean Observatories Initiative (OOI) through its Cyberinfrastructure (CI) Implementing Organization is developing a next generation platform for ocean sciences that will integrate a wide variety of information resources at scales unattainable before in the earth and ocean sciences. We introduce a novel scientific data model that enables distributed, large-scale storage and query of science data. Our model is built on multiple levels of abstraction ranging from domain-specific at the top down to encodings for message-oriented transport and persistence at the base. The key is exposing the properties of scientific feature types separately from the underlying structure of the data, which in turn is separated from their representation. The data representation is further isolated from the serialization and encoding used for transport and persistence. Our model greatly simplifies expressions of provenance and versioning of various data entities. It is robust, scalable and reliable. We implemented it for the first release of the OOI Integrated Observatory Network (ION), with rollout to operations currently underway.

Original languageEnglish (US)
Title of host publicationOCEANS'11 - MTS/IEEE Kona, Program Book
PublisherIEEE Computer Society
ISBN (Print)9781457714276
DOIs
StatePublished - Jan 1 2011
EventMTS/IEEE Kona Conference, OCEANS'11 - Kona, HI, United States
Duration: Sep 19 2011Sep 22 2011

Publication series

NameOCEANS'11 - MTS/IEEE Kona, Program Book

Other

OtherMTS/IEEE Kona Conference, OCEANS'11
CountryUnited States
CityKona, HI
Period9/19/119/22/11

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Ocean Engineering

Keywords

  • Cyberinfrastructure
  • Data Management
  • Ocean Observatories Initiative
  • Ocean Sciences

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