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ODM2 Workshop 1: Gathering Requirements


Workshop #1 for the Observations Data Model 2.0 Project

San Diego Supercomputer Center

Overall Project Goal

Our overarching goal of the NSF-funded project -- "Developing a Community Information Model and Supporting Software to Extend Interoperability of Sensor and Sample Based Earth Observations" project (Award #1224638) -- is to create an information model for spatially discrete, feature-based earth observations that is integrative and extensible, accommodating a wide range of observations data and aimed at achieving interoperability across multiple disciplines and systems that support publication of earth observations. This new information model, which we call Observations Data Model Version 2.0 (ODM2), builds upon the extensive experiences from the CUAHSI Hydrologic Information Systems (HIS) and their ODM 1.1 (Horsburgh et al. 2008), the Integrated Earth Data Applications (IEDA) databases such as SedDB, PetDB and EarthChem (Lehnert et al. 2000), the Integrated Ocean Observing System’s (IOOS) NANOOS Visualization System (NVS) (Mayorga et al. 2010), and the recent efforts of the "Integrated Data Management System for Critical Zone Observatories" (CZOData) project (NSF Award #1332257, Zaslavsky et al. 2011).

Goal for Workshop 1

Work toward extending the ODM Information model to better support sensor and sample-based earth observations.

Meeting Objectives
  • Examine data use cases for spatially discrete, feature-based earth observations to identify requirements
  • Examine functional use cases for ODM2 to identify requirements
  • Examine and discuss preliminary ideas and designs for ODM2
  • Begin development of prototype profiles and extensions ODM2 needed to support spatially discrete, feature-based earth observations
  • Describe representations of features in the Geo-environment needed to support spatially discrete, feature-based earth observations
  • Collect input from domain scientist, data publisher, and data user perspectives on how ODM2 can support domain researchers




A Relational Model for Environmental and Water Resources Data. Horsburgh, J. S., D. G. Tarboton, D. R. Maidment and I. Zaslavsky (2008): Water Resour. Res., 44: W05406.

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