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Part III. Appendix 2: Data TransportParamount to the success of the IOOS data system is that this data model deal with physical datajust <strong>as</strong> well <strong>as</strong> it does with biological and chemical data; hence, representation from both communitiesis a requirement for this pilot.We envision this <strong>as</strong> a two- to three-person-year effort. This pilot should be funded in the $300krange.Pilot Project #2: DAP-OBIS Integration – Priority 10OBIS 7 is a globally distributed network of systematic, ecological, and environmental informationsystems. Data held in <strong>as</strong>sociated archives should be seamlessly integrated with those accessible viathe DAP. This means that either a gateway be established between the DAP and OBIS or that theDAP replace the current OBIS data access protocol. We recommend a pilot to address the integrationof OBIS and the DAP. We envision this t<strong>as</strong>k to be at the same level <strong>as</strong> that <strong>as</strong>sociated with developinga semantic data model. Indeed, a critical component of the semantic data model will be itsability to handle biological data.This is seen <strong>as</strong> a .5 person year effort that will be spread over a year. IOOS should budget on theorder of $75k for this t<strong>as</strong>k.Pilot Project #3: The Structure layer – Priority 10Immediately above the format layer is the structure layer, which may be divided into a purely syntacticpart and a semantic part. Despite the variety of ways in which gridded data are organized,syntactic restructuring of gridded data is fairly straightforward. Furthermore, gridded data sets accompaniedby a semantic description consistent from data set to data set may be reorganized intostructures that have semantic meaning without too much difficulty. An aggregation server thatrestructures many gridded data types is currently in use with DAP-accessible data sets. This aggregationserver does not handle all of the c<strong>as</strong>es for gridded data that have been encountered, butit is e<strong>as</strong>ily extensible to many of those not covered. The point is that restructuring of gridded datadoes not point to any serious problems. The same is not true of non-gridded data, referred to <strong>as</strong>unstructured data, sequence data, or profile data (we use “sequence” in the following). The f<strong>as</strong>hionin which sequence data are organized shows a great deal more variability from site to site thando gridded data. Hence, a general restructuring algorithm is much more difficult to design andimplement. This t<strong>as</strong>k is made more difficult by the pronounced interest in aggregating sequencedata between sites, an aim not so often encountered for structured data. Aggregating sequence data7See Annex B for a brief overview of OBIS the <strong>Ocean</strong> Biographic Information System.162

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