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Global Change Master Directory (GCMD)
Observations Data Model (ODM)
Entry ID: CUAHSI_ODM


Summary
Abstract: The CUAHSI Hydrologic Information System project is developing information technology infrastructure to support hydrologic science. One aspect of this is a data model for the storage and retrieval of hydrologic observations in a relational database. The purpose for such a database is to store hydrologic observations data in a system designed to optimize data retrieval for integrated analysis of information collected by multiple investigators. It is intended to provide a standard format to aid in the effective sharing of information between investigators and to allow analysis of information from disparate sources both within a single study area or hydrologic observatory and across hydrologic observatories and regions. The observations data model is designed to store hydrologic observations and sufficient ancillary information (metadata) about the data values to provide traceable heritage from raw measurements to usable information allowing them to be unambiguously interpreted and used. A relational database format is used to provide querying capability to allow data retrieval supporting diverse analyses. A generic template for the observations database is presented. This is referred to as the Observations Data Model (ODM).

Related URL
Link: DOWNLOAD SOFTWARE
Description: Access the ODM 1.1 Blank SQL Server Schema Database.


Link: VIEW RELATED INFORMATION > USER'S GUIDE
Description: ODM 1.1 Design Specifications Document.

ISO Topic Category
GEOSCIENTIFIC INFORMATION
ENVIRONMENT


Keywords
Data Access
Hydrology
Hydrologic Information System
Database
Hydrologic Data Model
Relational Database


Personnel
CONSORTIUM OF UNIVERSITIES FOR THE ADVANCEMENT OF HYDROLOGIC SCIENCE, INC.
Role: TECHNICAL CONTACT
Phone: 202-777-7306
Fax: 202-777-7308
Email: questions at cuahsi.org
Contact Address:
2000 Florida Avenue, N.W
City: Washington, D.C
Postal Code: 20009
Country: USA


Extended Metadata Properties
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Creation and Review Dates
SERF Creation Date: 2011-02-16
SERF Last Revision Date: 2018-07-02



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