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COMIDA: Managing Marine Observations Data

COMIDA: Managing Marine Observations Data Eric S. Hersh, Harish Sangireddy, and David R. Maidment Center for Research in Water Resources; Dept. of Civil, Architectural, and Environmental Engineering; The University of Texas at Austin. Observing the Ocean. Ask yourself…

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COMIDA: Managing Marine Observations Data

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  1. COMIDA: Managing Marine Observations Data Eric S. Hersh, Harish Sangireddy, and David R. Maidment Center for Research in Water Resources; Dept. of Civil, Architectural, and Environmental Engineering; The University of Texas at Austin Observing the Ocean Ask yourself… …where are my data from five years ago? …can I easily compare current results to previous? …are my results easy to share with other researchers? …are my results easy to share with stakeholders? A project website was developed for PIs to share results with each other, with other scientists, with regulators, and with stakeholders. The Chukchi Sea Offshore Monitoring in Drilling Area (COMIDA) Chemical and Benthos (CAB) projectseeks to characterize the lease area 193 biota and chemistry and to conduct a baseline assessment of the continental shelf ecosystem via ship-based physical, chemical, and biological sampling of the benthos and the development of a workable food web model. http://comidacab.org • The website includes tabs for: • Home – providing a brief project overview plus recent updates • Maps – linked to the ArcGIS Online community for sharing geographic data • Data – linked to the Integrated Rule-Oriented Data System (iRODS) on the Corral Server of the Texas Advanced Computing Center (TACC) • About – the COMIDA CAB project team A phytoplankton tow. In the 2009 field season, 48 stations were occupied in the northeastern Chukchi Sea. In the 2010 season, 44 stations were occupied in a similar area, extending south to the Bering Strait. In total, 27 stations were sampled in both 2009 and 2010 for both quality control and time series comparison purposes (at left). Project data and metadata are solicited from PIs in each researcher’s native data format and structure. Custom scripts and SQL/Server Integration Services (SSIS) are employed to data from the diverse formats, data into a standardized data structure, and data into the project database. Organizing Information EXTRACT TRANSFORM LOAD The comidacab.org. homepage. Note: access to preliminary project data is currently limited to project participants and is provided via a secure log-in interface at both ArcGIS.com and the iRODS grid software system. Once data have been quality-controlled and cleared for release, project data and analytical products will be publicly-available via the project website. Communicating Results Conclusion The diverse interdisciplinary project team made physical, chemical and biological observations of the water column, epibenthos, and benthos, as per below. Water Column Sediment Epibenthos Team Univ. of Texas FL Inst. Tech. Secure data access interface on the iRODS data grid. Grebmeier, Cooper, Harvey Dunton, Maidment, Schonberg Trefry Prentki Konar PI(s) • Surface & subsurface PAR • Chlorophyll a • POC & POM • Zooplankton • Phytoplankton • Hydrographic profiles • Turbidity, TSS, nutrients • Trace metals • Fish toxicology • Birds & marine mammals • Community composition • Abundance, biomass, population size structure • Organic contaminants • Nutrients, stable isotopes • Caloric content • Oxygen consumption • Nutrient flux experiments • Qualitative video habitat survey • Hydrocarbons • 19 anthropogenic metals • Cesium and lead dating • TOC, POC, nutrients • Sediment chlorophyll • Benthic infauna • Biomarkers • Grain size distribution • Oxygen uptake experiments Oceanographic Data Physical Data management is accomplished via SQL/Server relational database and the Observations Data Model (ODM) schema (workflow, above, and data model, below right). The ODM is used extensively for storing observations of the water environment and was developed by the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), a National Science Foundation-supported cyber-infrastructure project. A standardized ontology and a controlled vocabulary of variables are used to ensure consistency (below left). Chemical Biological The COMIDA CAB data management program seeks to provide persistent and sustainable information which is readily accessible to the target audience. The COMIDA CAB data management program features a standardized project database (ODM) as it’s back-end and a public outreach website (comidacab.org) as it’s front-end to achieve this goal. The ArcGIS Online community (top) and the 2009 COMIDA project basemap map service (bottom). Imagery Geographic Organisms to be catalogued in the project database. ‘About’ the COMIDA CAB team. Support for this project provided by the Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) via the COMIDA CAB project, AK-08-03. The contribution of data and input from other COMIDA CAB participants is acknowledged. For further information, contact Eric Hersh, ehersh@mail.utexas.edu The CUAHSI hierarchical ontology of variables. Project teams, Principal Investigators, and data types generated. The CUAHSI Observations Data Model (ODM).

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