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Data Transport

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Considers pre-existing efforts/projects/technologies. ... Employs a project selection process, testing with external partners, full report ... – PowerPoint PPT presentation

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Title: Data Transport


1
Data Transport
2
  • Were talking specifically and only about 'late'
    data transport.

3
Data Transport
  • Data Transport is a service layer which should
  • Be minimally invasive to the Certified Data
    Providers IT shop.
  • Support basic parameter specific geospatial (bbox
    or sensor) and temporal queries and result
    thresholds ( gt or lt or )
  • Be flexible as the output data model will likely
    change as the system matures.
  • Support data response including optional grouping
    by collection event (e.g. profile, glider, etc.)
  • Present limited risk due to cost of
    implementation and maintenance.

4
Data Transport Laboratory
  • Purpose to strengthen the transport
    implementation practices among IOOS partners via
    a development and testing facility that is
    persistent and objective.
  • Considers pre-existing efforts/projects/technologi
    es.
  • Is not necessarily intended to develop final
    solutions, but to consider/critique possible
    solutions.
  • Is intended to produce information that supports
    decision making.
  • Employs a project selection process, testing with
    external partners, full report of results and
    critiques.

5
DTL projects
  • DTL Proj1 OPenDAP (v3) NetCDF/CF for In-situ
    Data
  • This project found utility in the OPeNDAP
    NetCDF stack but concluded that it is intrusive
    to the data provider's IT shop.
  • The report recommends use of RDBMS with more
    loosely coupled service layer.

6
DTL projects
  • DTL Proj3 - Exploration of OOSTethys (SOS and
    OM) Testing is currently underway.
  • DTL Proj4 - Use of WFSGML/SFP for Time Series
    Data Testing is currently underway.
  • Demonstrates GML/SFP via WFS as a valid mechanism
    for transport of in-situ data.
  • DTL plans - Further development of microWFS
    service and client to be fully compliant.
  • Continued development of content standards and
    schemata.
  • Continued development of microWFS service to be
    fully compliant. OGC WFS specifies 3 mandatory
    methods getFeature, getCapabilities, and
    describeFeature. Currently, microWFS only
    supports getFeature.
  • Survey of interest in continued development in
    Java, Perl, Python, or other.

7
Why OGC WFS?
  • WFS is a stable OGC standard and is in committee
    with ISO.
  • GML/Simple Feature Profile offers a rich library
    of XML elements.
  • Incorporates the use of content standards,
    dictionaries, and schemata.
  • DTL Project4 Example of GML/SFP via WFS
  • Was intended to determine the feasibility of
    handling time series data in GML/SFP via a WFS.
  • Produced a valid simple architecture that
    produces GML/SFP output without a map server
    greatly simplifying the required server stack.

Client
RDBMS
Servlet or CGI Application
  • Demo microWFS
  • http//csc-s-ial-p.csc.noaa.gov/DTL/DTLProjects/m
    icrowfs/

8
Why OGC WFS?
  • Given a content standard and a set of schemas,
    supporting the required service methods is
    straight forward.
  • Facilitates simple implementation while allowing
    for substantial extension/expansion or the
    service definition and transport schemata.
  • WFS is supported by popular map server packages
  • WFS output can be generated without a map server
    reducing complexity if all you want is GML/SFP
    WFS.
  • Helps move from DMAC pre-operational toward
    operational.
  • Consistent with IOOS PO DIF development efforts.

9
Suggestions
  • Suggestion Use GML/SFP via WFS services to
    transport discrete in-situ data.
  • Suggestion Use OGC WCS or OPenDAP for grids
    (model output or remotely sensed data).
  • Suggestion Set a minimum 30 day sliding window
    for data availability.
  • Suggestion Set a maximum period for getting data
    from sensor to service.
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