DRAFT,  v2.5 19 a range of formats and vocabularies.  The development of mechanisms to integrate these  data can be formidable, but the potential benefits are enormous. Incorporation of biological and chemical data into the IM data management structure.   The problems associated with incorporation of these data are identified above.   Appropriate standards must be identified and agreed upon, and then applied to the  appropriate data bases. Socio-economic applications: The IM supports this component largely through the development of  user- targeted products, e.g. storm surge forecasting models.  Other contributions include: Workforce training and student training and education both through inclusion in IM activities and by developing educational tools; Technology transfer, through the development and optimization of computer software development and application to IOOS activities; Contribution to the establishment of a truly operational and reliable IOOS through development of the necessary IM processes and infrastructure. Development of an IM system that can include and integrate demographic and economic data. Additional cross-cutting and overarching activities include:   Establishment of an “In-reach (iterative) process” that assumes full communication with the other WGs in SEACOOS;   Identification of the requirements needed to achieve appropriate redundancy in the IM system, followed by their implementation;   Determination of the appropriate archiving processes, archive locations, and the infrastructure required, followed by implementation of the resultant plan;   Establishment, in coordination with appropriate partners (e.g. SURA SCOOP) of the appropriate metadata, data, and protocol standards, followed by their implementation;        Coordination with SECOORA and with other RAs, federal agencies, and relevant national organizations to ensure cross-fertilization of knowledge gained and sharing of IM products. Modeling WG Implementation Plan Phase I   Develop skill assessment. The current implementation of the SEACOOS Nowcast Forecast   System (NFS) is barotropic, with imposed wind stress and tidal elevations.  We have focused to  date on tidal and sub-tidal (40 hr) low pass filtered coastal water level skill at selected locations,  with extensions to include spatial assessment of the observations as more data become available.    We will also quantify the spatial and temporal errors in the NCEP EDAS/ETA wind fields used to  drive the NFS.       Implementation of strategies for baroclinic modeling and offshore forcing.   In addition to   properly imposing the forcings by river discharges and atmospheric heat flux, a primary difficulty