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The CUAHSI Observations Data Model Jeff Horsburgh 7-9-2007 David Maidment, David Tarboton, Ilya Zaslavsky, Michael Piasecki, Jon Goodall, David Valentine, Tom Whitenack, Tim Whiteaker, Bora Beran, Ernest To http://www.cuahsi.org/his.html Primary Use Cases • Relational data model underlying the CUAHSI Hydrologic Information System – Observation catalogs for national datasets (USGS NWIS, EPA STORET) and web services – Standardization of investigator data management in environmental observatories What is an Observation? • An observation is an event that results in a value describing some phenomenon (OGC Observations and Measurements, 2006) • ODM focuses on observations made at a point • Types: grab samples for laboratory analysis, physical measurements from field instruments, streaming data from in-situ sensors • Not covered – observation fields (e.g., grids, images, etc.) ODM Overview Streamflow • A relational database at the single observation level (atomic model) Precipitation • Stores observation data made & Climate ODM at points • Metadata for unambiguous interpretation • Traceable heritage from raw measurements to usable Water Quality information • Standard format for data sharing • Cross dimension retrieval and analysis Groundwater levels Soil moisture data Flux tower data Associated Tools • Data Loaders – ODM Data Loader – Streaming Data Loader • ODM Tools – Query and export – export data series and metadata – Visualize – plot and summarize data series – Edit – delete, modify, adjust, interpolate, average, etc. • Controlled Vocabularies – Online moderated system Associated Tools • ODM Web Services – WaterML • Data Access System for Hydrology (DASH) – A common data window for accessing, viewing and downloading hydrologic information • HydroSeek – Ontology based search engine Model Extensibility • The ODM schema is generic, but the controlled vocabularies are not – Variable names, data types, units, etc. • ODM controlled vocabularies are editable via a moderated system online • Working on ODM API to shield applications from changes to the database schema