OS51E-1920: Rolling Deck to Repository (R2R): Building a Reference Cruise Catalog for the Research Fleet

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Authors: Robert A Arko1, Paul D Clark2, Cynthia L Chandler3, Shawn R Smith4

Author Institutions: 1. Lamont-Doherty Earth Observatory, Palisades, NY, USA; 2. Scripps Institution of Oceanography, La Jolla, CA, USA; 3. Woods Hole Oceanographic Institution, Woods Hole, MA, USA; 4. Florida State University, Tallahassee, FL, USA

The Rolling Deck to Repository (R2R) program is developing infrastructure to ensure the underway sensor data from NSF-supported oceanographic research vessels are routinely and consistently documented, preserved in long-term archives, and disseminated to the science community. A core element of this infrastructure is a master catalog of research vessels, cruises, sensor systems, underway datasets, navigation products, field reports, event logs, file formats, people, organizations, and funding awards that is maintained uniformly across the research fleet. All NSF-supported vessel operators now submit their underway cruise data and documentation directly to R2R, per the revised Division of Ocean Sciences (OCE) Sample and Data Policy published in 2011. R2R ingests this content into the fleet catalog, assigning globally unique and persistent identifiers at the cruise, dataset, and file (granule) levels. The catalog is aligned with community-standard vocabularies, working collaboratively with the NOAA Data Centers, UNOLS Office, and pan-European SeaDataNet project; and includes links to related data at other inter/national repositories. In response to community demand, we are extending the catalog to include instrument-specific metadata such as installation details, patch tests, and calibration results. The entire R2R catalog is published on the Web as “Linked Data”รน, making it easily accessible to encourage integration with other repositories. Selected content is also published in formal metadata records according to ISO and W3C standards, suitable for submission to long-term archives. We are deploying both faceted (classification/filter) and Web map-based browse and search interfaces.
http://rvdata.us/

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