Page Comparison

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• USGS National Geospatial Program Standards and Specifications

• FGDC National Data Standards Publications

• FGDC Standards Working Group

• https://www.fgdc.gov/initiatives/open-water-data-initiative

• U.S. Integrated Taxonomic Information System (ITIS)

• U.S. National Vegetation Classification (USNVC)

• https://www.epa.gov/waterdata/water-quality-data-wqx

• NGWMN

• NEMI.GOV

• The reality is that there aren’t actually many water data standards that are widely adopted. The main one that actually is in the widespread use in the United States is EPA WQX for water quality samples: The references at the bottom of this repository are helpful. The repository itself has the WQX schema in JSON format.

  Water rights and use data has a different standard for each state. There’s a sort of meta-conceptual standard, or data model in use by WaDE and approved by the USGS for the National Water Census: Description. Detailed Documentation

  For any kind of time series hydrologic data, including streamgages, continuous water quality monitoring sensors, and groundwater well profiles, and the environmental features these sensors collect data about: WaterML2 https://www.ogc.org/standards/waterml This is more of a meta-standard or data model.

  ODM2 is a highly general data model that includes many helpful controlled vocabularies . It was developed by CUAHSI for more academic purposes and mayu be overkill, but its concepts can be helpful to think through for novel data types that are not really standardized anywhere yet.

  For other controlled vocabularies:
  For things like general observed physical properties and units, QUDT is comprehensive.
  NEMI is good for water quality methods and analytes