OD52A:
Big Data for a Big Ocean: Progress on Tools, Technology, and Services III


Session ID#: 36983

Session Description:
Four years ago, oceanographers and data management specialists gathered at the 2014 Ocean Sciences meeting to discuss our community’s emerging and novel approaches to the Big Data challenges presented by ocean data’s growing complexity and volume. For the 2018 Ocean Sciences meeting, the community is invited to return to these discussions and mark progress on the Big data tools, technologies, and services to collect, store, preserve, process, discover, access, visualize, and analyze big ocean data. Submissions that look forward to emerging problems and their solutions are also requested, as well as lessons-learned from attempts to leverage those new technologies and services. Contributions are encouraged from across the academic, commercial, and government sectors to foster partnerships and innovations to solve these big ocean data challenges and enable a new generation of ocean science and applications.
Primary Chair:  Kenneth S Casey, NOAA/NESDIS/National Centers for Environmental Information, Silver Spring, MD, United States
Co-chairs:  Danie Kinkade, Woods Hole Oceanographic Institution, Woods Hole, MA, United States, Stephen C Diggs, University of California San Diego, La Jolla, CA, United States and Edward Joseph Kearns, NOAA, NOAA Chief Data Officer, Asheville, NC, UNITED STATES
Moderators:  Edward Joseph Kearns, NOAA, NOAA Chief Data Officer, Asheville, NC, UNITED STATES and Stephen C Diggs, University of California San Diego, La Jolla, CA, United States
Student Paper Review Liaison:  Kenneth S Casey, NOAA National Centers for Environmental Information, Silver Spring, MD, United States
Index Terms:

1912 Data management, preservation, rescue [INFORMATICS]
1916 Data and information discovery [INFORMATICS]
1942 Machine learning [INFORMATICS]
1954 Natural language processing [INFORMATICS]
Cross-Topics:
  • IS - Ocean Observatories, Instrumentation and Sensing Technologies

Abstracts Submitted to this Session:

Embracing Progress: Improving Global Drifter Data Discoverability and Accessibility (318062)
Kevin O'Brien1, Rick Lumkin2, Mayra Pazos2, Erik Valdes3, Shaun Dolk4 and Ansley B Manke5, (1)University of Washington Seattle Campus, JISAO, Seattle, WA, United States, (2)NOAA, AOML, Miami, FL, United States, (3)Unversity of Miami, CIMAS, FL, United States, (4)NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Miami, FL, United States, (5)NOAA Seattle, Seattle, WA, United States
Developing new services with Mercator Ocean ocean analyses and forecasts by using the Plateform as a Service approach (316906)
Charly Regnier1, Marie Drevillon1, Yann Drillet1, Carine Castillon2, Bertrand Ferret2, Dominique Obaton2, Matthieu Clavier2, Kyriakos Konstantopedos3 and Chadi Jaber3, (1)Mercator Océan, Ramonville Saint Agne, France, (2)Mercator Ocean, France, (3)Atos, France
Developing Big-Data Infrastructure for Analyzing AIS Vessel Tracking Data on a Global Scale (314572)
Jessica Austin1, Robert J Bochenek1 and John-Marc Dunaway2, (1)Axiom Data Science LLC, Anchorage, AK, United States, (2)Axiom Data Science LLC, AK, United States
Data-proximate computing, analytics, and visualization using cloud-hosted workflows and data services. (317049)
Mohan K Ramamurthy, University Corporation for Atmospheric Research, Unidata, Boulder, CO, United States
Borrowing tools from software engineering to increase reproducibility and repeatability: experience with a cloud-based tool-chain for collaboration (324793)
Philipp Neubauer1, Finlay Thompson1 and Dragonfly Data Science, (1)Dragonfly Science, Wellington, New Zealand
Biodiversity Indicators Are Big Data: Developing a Reproducible Indicator for Microzooplankton Diversity (318849)
Stace Beaulieu1, Anya M Waite1, Emily Brownlee1, Andy Voorhis2, Sydney Ruzicka3, Joe Futrelle1, Anya Shipunova2, Emily Peacock1 and Craig Dawes1, (1)Woods Hole Oceanographic Institution, Woods Hole, MA, United States, (2)Marine Biological Laboratory, Woods Hole, MA, United States, (3)Rensselaer Polytechnic Institute, Troy, NY, United States

See more of: Ocean Data Management