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NVODS: Breakouts. Peter Cornillon University of Rhode Island Presented at the 11 September 2003 NVODS Workshop Washington DC. Workshop Objectives. Inform the community – NVODS status. Solicit input with regard to the future direction of NVODS. Encourage participation in the NVODS effort.
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NVODS: Breakouts Peter Cornillon University of Rhode Island Presented at the 11 September 2003 NVODS Workshop Washington DC
Workshop Objectives • Inform the community – NVODS status • Solicit input with regard to the future direction of NVODS. • Encourage participation in the NVODS effort.
Three Breakouts • Mooring Aggregation • Future Directions • Future Directions
Breakouts • Mooring Aggregation Objective – to outline a plan for developing a data model that can be used for the aggregation of mooring data • Examine mooring data currently served by OPeNDAP • Develop a model that is inclusive of these data • Run a workshop of mooring data providers to “bless” the data model • Identify someone to lead this effort
Breakouts 2 & 3. Future Directions • What would it take to entrain new groups/individuals or to increase participation from existing groups in the NVODS effort both from the perspective of: • Data population, • Data access, and • Software development • To what activities could OPeNDAP contribute? • To address these needs (a and c), what actions are needed? • How should these actions be prioritized?
Challenges • Data discovery – Directory population • GIS access • Consistent semantic data model(s)
Challenges • Data discovery – Directory population • Finding new servers and new data sets at existing servers • OPeNDAP-enabled servers are rapidly being installed • New data sets are being added at existing server sites • Obtaining complete and consistent data set descriptions • Inadequate data set descriptions • No link between the data set description and OPeNDAP access to the data. • Data sets consisting of collections of holdings pose special problems • Each of the individual items may be well defined, but not the collection as a whole, or • There may not be a single entry point for the collection
Challenges • Data discovery – Directory population (cont.) • Handling virtual data sets and server services • New data sets obtained by combining data from several sites • The collection of mooring data obtained from several sites • New data objects obtained via operations on the data at a site • Wind stress curl derived from the wind stress field • Handling replicated data sets • Some of the more popular data sets are replicated at several sites
Challenges • GIS access • Access from GIS-based servers • Grid access • Feature access • Access from GIS packages • Grid access • Feature access
Challenges • Consistent semantic data model(s)
Data System URLS NVODS:http://nvods.org OPeNDAP:http://opendap.org DODS:http://unidata.ucar.edu/packages/dods