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ISOOS Data and Communications Infrastructure

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Oversight and guidance to Expert and Outreach Teams. Consideration of cross-cutting issues ... DAC Expert Teams. Data Transport ... – PowerPoint PPT presentation

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Title: ISOOS Data and Communications Infrastructure


1
ISOOS Data and Communications Infrastructure
  • Dean A. Dunn, Ph.D.
  • NOAA/NESDIS/NCDDC
  • Stennis Space Center, MS

2
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3
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4
Ocean.US Appoints
  • Data and Communications Steering Committee
  • Expert Teams (4)
  • Virtual Outreach Teams (2)

5
DAC Expert Teams
  • Data Transport
  • Lead Peter Cornillon, URI (NVODS)
  • Data Discovery/Metadata Management
  • Lead Susan Starke, NOAA/NCDDC
  • Applications
  • Lead David Legler, CLIVAR
  • Data Archival
  • Lead Steve Worley, UCAR

6
DAC Virtual Outreach Teams
  • Data Facilities Management
  • Lead Landry Bernard, NOAA/NDBC
  • User Outreach
  • Lead Phil Mundy, Exxon Valdez Oil Spill
    Trustee Council

7
General Concerns for DAC
  • Sensitive (classified, proprietary) data may
    require special management
  • Standards within ISOOS framework should be
    consistent with those of international elements
    of GOOS
  • Need for Metrics/System Performance assessments

8
DACSC Responsibilities
  • Oversight of planning process, pilot projects
  • Oversight and guidance to Expert and Outreach
    Teams
  • Consideration of cross-cutting issues
  • Design, write, and circulate Draft Plan modify
    based on public feedback
  • Final Plan to Ocean.US by December 2002

9
DAC Expert Teams
  • Data Transport
  • Lead Peter Cornillon, University of Rhode
    Island (NVODS), Narragansett, RI
  • Data Discovery/Metadata Management
  • Applications
  • Data Archival

10
Data Transport Team Issues
  • Server functionality, subsetting, aggregation
  • Diversity of data types, interoperability of
    scientific information systems with GIS
  • Special data types (video, acoustic, complex
    data)
  • Metrics for system usage and subsystem
    performance ongoing tracking specifications
  • One or more data transport protocols,
    multi-protocol interoperability gateways

11
Data Transport Team Guidance
  • XML recommended for metadata transport
  • Initial data transport via NVODS/OBIS
  • Interoperability with OGIS data transport
  • Need for operational data push capability
  • DAC subsystem is shore-based not used for
    platform-specific sensor telemetry

12
Data Transport Team Pilot Projects
  • Recommend an NVODS and OBIS/GBIF exchange
    standard
  • NCDDC Portal transporting data from NDBC Hub via
    NVODS providing metadata access and data
    discovery

13
DAC Expert Teams
  • Data Transport
  • Data Discovery/Metadata Management
  • Lead Susan Starke, NOAA/NCDDC, Stennis Space
    Center, MS
  • Applications
  • Data Archival

14
Data Discovery/Metadata Management Team Issues
  • Controlled vocabulary between disciplines
    semantic keywords and data dictionaries
  • Portal concept and system maintainability
  • Adaptive metadata (e.g., merged data)
  • Metadata for non-traditional data types (e.g.,
    video)
  • Metadata as data

15
Data Discovery/Metadata Management Team
  • Guidance
  • Ocean.US recommends FGDC-compliant metadata
    standard
  • ISOOS metadata requirements for data providers
    must be clear and simple
  • Pilot Project
  • Development of a catalog and data access portal
    at NCDDC

16
DAC Expert Teams
  • Data Transport
  • Data Discovery/Metadata Management
  • Applications
  • Lead David Legler, Climatic Variability and
    Predictability, Washington, DC
  • Data Archival

17
Applications Team Issues
  • Quality Control Quality requirements for each
    data type, data maps, user feedback, online data
    entry forms
  • Data Assembly Software interfaces to assist
    assembly, version control for data collections,
    parallel data format and quality in different
    locations
  • Product Generation Metadata, data procedures,
    processes, and standards are related to DAC
    operations technical products are not they are
    part of the ISOOS Application Subsystem

18
Applications Team Guidance
  • DAC system delivers input data for models to
    users, and model output data to users.
  • It is not responsible for running models or
    producing numerical data products
  • QC procedures must be developed in partnership
    between the DAC and the operations

19
Applications Team Pilot Project
  • Assembly of real-time observations for
    operational modeling by Global Ocean Data
    Assimilation Experiment server at US Navy Fleet
    Numerical Meteorology and Oceanography Center,
    Monterey, CA

20
DAC Expert Teams
  • Data Transport
  • Data Discovery/Metadata Management
  • Applications
  • Data Archival
  • Lead Steve Worley, University Corporation for
    Atmospheric Research, Boulder, CO

21
Data Archival Team Issues
  • Metadata completeness
  • Data duplication within and between centers
    complete disciplinary archives
  • Incentives for users to submit data
  • Archeology and mining of external data
  • Operational resources and capability for
    real-time acquisition

22
Data Archival Team
  • Guidance
  • Dont look back! (Define metadata for new data
    sets, then work on migrating old datasets into
    metadata framework)
  • Pilot Projects
  • To be defined at archive centers after ISOOS
    standards are defined

23
DAC Virtual Outreach Teams
  • Data Facilities Management
  • Lead Landry Bernard, NOAA/National Data Buoy
    Center, Stennis Space Center, MS
  • User Outreach
  • Lead Phil Mundy, Exxon Valdez Oil Spill Trustee
    Council, Anchorage, AK

24
Data Facilities Management and Outreach Teams
  • Virtual teams no scheduled meetings Team
    Leads communicate to constituencies by E-mail and
    telephone
  • Issues
  • Solicit and provide input to technical teams from
    user community
  • Consider pilot projects to implement Plan

25
Summary
  • Key issue is the need to develop standards
  • Standard interface for gateways
  • Use of XML for data transport
  • Consensus-based QA/QC standards for data
  • Need for FGDC-compliant metadata catalog
    (facilitates search for relevant data)
  • ISOOS emphasis on operational systems (sustained
    observations)

26
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