Integrated Data Management System for Critical Zone Observatories

Anthony K. Aufdenkampe, Stroud Water Research Center Kerstin Lehnert, IEDA/Columbia. Ilya Zaslavsky, SDSC. Jeff Horsburgh, USU. Emilio Mayorga, UW-APL David Tarboton, USU David Lubinski, UC-Boulder

A pilot for EarthCube?

Critical Zone Science

Atmosphere

Biosphere

Hydrosphere

Lithosphere

Earth's permeable near-surface layer from the tops of the trees to the bottom of actively cycling groundwater. •  Where rock, soil, water, air, and

living organisms interact and shape the Earth's surface.

•  Critical to sustaining the earth’s sustaining services •  Clean water •  Productive soil •  Balanced atmosphere

Hillslope Catchment Watershed

Minutes

Decades

Millenia

Eons

Critical Zone Disciplines •  Biogeochemistry •  Biology/Ecology •  Biology/Molecular •  Climatology/

Meteorology •  Data Management/

CyberInfrastructure •  Engineering/Method

Development •  Geochemistry/

Mineralogy •  Geology/Chronology

•  Geomorphology •  Geophysics •  GIS/Remote Sensing •  Hydrology •  Modeling/

Computational Science •  Outreach/

Education Research •  Soil Science/Pedology •  Water Chemistry

Catalog

Data Servers Clients

Metadata Catalog

Data Storage

Data Delivery

Metadata Transfer

Metadata Transfer

Data Transfer

Database Encoding

XML Schema Encoding

Legend

Data and Metadata Transfer

Need New Information Model

Catalog

Data Servers Clients

Metadata Catalog

Data Storage

Data Delivery

Metadata Transfer

Metadata Transfer

Data Transfer

Database Encoding

XML Schema Encoding

Legend

Data and Metadata Transfer

Information Model

Need New Information Model

Observation Data Model 2.0 •  Driven by Community & Use Cases:

•  >3 workshops + ~12 data models + much feedback •  use cases: CZOData, Little Bear River, PetDB, IOOS

•  Now stable! •  See https://github.com/UCHIC/ODM2

•  In process of being adopted by: •  CUAHSI Water Data Center •  Integrated Earth Data Applications (IEDA) •  CZOData •  others considering

Need New Controlled Vocabularies •  Existing CVs don’t meet all our needs

•  Many CVs are overloaded & combine many concepts

•  ODM2 Approach to CVs •  Many CV lists that each represent a single concept &

thus contain a finite number of terms •  Map to all existing terms by combining single-concept

terms. •  i.e. a USGS Parameter code could be mapped from: [EnvironmentCV] + [VerticalComponentCV] + [SamplingFeatureTypeCV] + [SampleMedium] + [ResultSpeciesID] + ResultQuantityID + [ResultQuanityModifierCV] + [UnitID]

Thank You

Funded by the National Science Foundation

EAR 1224638 EAR 1332257 ACI 1339834

ODM2 is on GitHUB: https://github.com/UCHIC/ODM2