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ODM2 is an information model for spatially discrete, feature-based earth observations that is integrative and extensible and aimed at data interoperability.
- [Example Information Models](wiki/Example Information Models)
- [ODM2 Development Approach](wiki/Development Approach)
- [Linking Observations to the Geo Environment](wiki/Linking Observations to the Geo Environment)
- [Software Supporting ODM2](wiki/Software Supporting ODM2)
- [Presentations and Publications](wiki/Presentations and Publications)
- ODM2 Documentation
View the ODM2 Proposal.
We are working to develop a community information model and supporting software to extend interoperability of spatially discrete, feature based earth observations derived from sensors and samples and improve the capture, sharing, and archival these data. This information model, called ODM2, is being designed from a general perspective, with extensibility for achieving interoperability across multiple disciplines and systems that support publication of earth observations.
Several geoscience cyberinfrastructures use a services oriented architecture (SOA). The information model is central to SOA and specifies the information requirements and semantics of data encodings for storage and transfer of data and metadata. A common information model enables interoperability among data server, client, and catalog components of the SOA.
This multidisciplinary, community-focused effort aims to build consensus about the elements of the ODM2 information model, conceptual implementations that specify schemas for both data storage and communication, and prototype physical implementations using diverse data use cases from existing repositories and observatories to demonstrate how this advanced information model can support federation of earth observations data across multiple data publication systems within the geosciences.
- Look at the Documentation for ODM2 users and developers
- Submit issues and feature requests via the Issue Tracker
This material is based upon work supported by the National Science Foundation Grant EAR 1224638. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.