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Accessing Data from Ocean Observatories

Explore the evolving landscape of accessing data from ocean observatories and how everything will continue to change. Discover different data repositories, access methods, and factors that will drive future changes. Learn about data access examples and what to expect in the dynamic world of ocean data.

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Accessing Data from Ocean Observatories

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  1. Accessing DatafromOcean Observatories Why Everything Will Keep Changing John Graybeal, MBARI

  2. About Me • 19 years at NASA, 4 years at MBARI • Led data team (3 yrs), data projects (4 yrs) • Principal Investigator, Marine Metadata Interoperability (http://marinemetadata.org) • ORION Cyberinfrastructure Committee

  3. The Situation • Ocean.US / IOOS • ORION / OOI • NEPTUNE, PIONEER • MARS, VENUS

  4. The Schedule • 2005 • MARS (starts) • IOOS (planning) • 2006 • MARS (continues) • OOI (starts?) • IOOS (kind of starts?) • 2007 • OOI (starts) • IOOS (starts?) • 2008 • OOI (continues) • IOOS (continues?)

  5. The Data • Regular observations (think meteorology) • Model outputs (think outputs) • Observing campaigns • Irregular data sets

  6. Data Repositories • Big centralized archives • Domain-specific collections • Observatory records • Local data sets (accessible or otherwise)

  7. Data Access (Overview) • Call someone and ask them to send it • Call someone to find out where it is • Use a catalog (GCMD, OPeNDAP, …) • Use Google

  8. Data Access (Detailed) • FTP or download (in standard format?) • DODS/OPeNDAP (gridded data) • Live Access Server (files and plots) • Web Services (think http on steroids)

  9. Data Access Examples • LOBO: Web interface to a data set • AOSN: Web (LAS) interface to a collection • SSDS: Web services to a repository • MMI: Web services to multiple repositories

  10. What Will Drive Change • Increase Access: More data sets • Decrease Access: Security • Automate Access: Workflow • Smarter Access: Semantic Awareness

  11. What Will Change • Available data sets (but not often) • Locations of data • Interfaces to find and access data • Applications to work with data

  12. So (for curricula), What, Then? • Expect dynamic interfaces • Assume (define?) required expertise • Design curricula around basic data sets • Look for structural commitments to data

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