Societal benefit from ocean model and prediction requires these data be merged with relevant societal data – to goal of the Integrated Ocean Observing System (IOOS). Frequently this requires forecast aggregation and time in space to create the required coverage and/or merging with geospatial (GIS) data for analysis. From urban environments to ecosystem health, information is best placed in the human viewpoint. A number of technologies and standards are being used in the scientific context in IOOS and the Ocean Observatories Initiative (OOI). The challenge of sharing vast amounts of disparate data related to coastal and ocean observing and modeling is being tackled by a number of groups including the IOOS Data Management and Communications (DMAC) committee and the OOI Cyberinfrastructure group. Standards and technologies such as the Open Geospatial Consortium (OGC) standards, OPeNDAP/Thredds, NetCDF, GRIB, and a variety of web services are being explored as methods to share data amongst scientists and also with end users. This presentation discusses a variety of these standards, with practical applications in order to demonstrate their strengths and limitations.