To ensure a solid foundation for developing ocean observing systems, this project has been funded by the NOAA Coastal Services Center (Regional Integrated Ocean Observing System) to enable implementation of QA/QC standards into the evolving OpenGeospatial Consortium (OGC) – Sensor Web Enablement frameworks. For four focus areas (wave, in situ currents, CTD and dissolved oxygen), the project enables the development of specifications, generation data dictionaries and the definition of relevant SensorML profiles. The products are to provide tutorials and tools for implementation and the project supports implementation on existing local data nodes, through OOSTethys SOS services. The project deliverables will be publicized by cooperation with existing community-building programs, such as MMI, CICOR, ACT and QARTOD.

Welcome to the Q2O Homepage

WHAT's HERE -- a best practices example(s) of SensorML descriptions of Original Equipment Manufacturers' metadata (model characteristics, capabilities, mfgr contact, etc) ... and set-up/deployment SensorML files ... and data center process-lineage. Also examples of using registered vocabularies to describe terms (input, output, processes, parameters, qc flags, etc).

The last year of the Q2O project is underway. Community participation has been great! Many of the QARTOD team leaders have participated in all of our meetings held throughout the project. There are demonstration documents for your review and comment. Please send all comments to jfredericks@whoi.edu (subject line: Q2O Review).

A list of meetings is available in the Meeting Archives. By engaging domain experts in the development of sensor descriptions, as well as data managers with marine operations experience, we have implemented data models and web-services that enable dynamic data quality assessment.

The 'deliverables' are available for your review. Demonstrated are the Q2O vocabularies, which are registered with the MMI "Registry" and have enabled us to use URLs in our demonstration SWE instances. Also available is SensorML encodings describing the QARTOD QC tests.

The MVCO ADCP Waves instance (SensorML and registered vocabularies) fully describe the process of computing wave parameters from sensed properties.

We are currently working with UNC and VIMS to demonstrate the Q2O concepts for DO and CTD observations.

Janet Fredericks
17 May, 2011