DCO data types and sources are numerous and include, but are not limited to, 3-D seismic imagery (some from commercial sources), geophysical samples (existing and new); some hydrated, historical reanalysis (e.g., programs such as the International Ocean Drilling Program; IODP), new cores and biological, chemical and geophysical analyses, inclusions in diamonds and other minerals (leading to a global inclusion database), samples of carbon-bearing surface rocks (from eruptions), contextual data such as location, age, petrologic, chemical and biological settings, temperature, pressure, density, etc., related measurements (e.g., radon), diverse mineralogical data, reaction rates at new pressures and temperatures, volcano gas emission data in a network flowing into a near real-time web-accessible environment, spectra from new instrumentation, carbon and related (O-H-N) isotopic analyses, chemical and physical characteristics between organisms and minerals (biotic experiments) and compositional data and microbial sequence data and metadata. When data is a first-class object, it may itself be the subject of discourse. For example, in EPC collaborators, using scientific visualizations, may interrogate the data origins of particular results, and indeed visualizations may be revised while unambiguously tracking the various sources and the conditions under which they were produced. An early contribution of the Data Infrastructure Team will therefore be the establishment of an identification infrastructure for DCO scientific data objects that will facilitate the long-term management, discovery and exploitation of the range of artifacts, reports, papers, visualizations, tables, presentations, data products, interpretative analyses, etc. produced by DCO researchers. Integrated with this naming infrastructure will be a rich metadata management system enabling data integration, federation and the construction of higher-level applications and visualizations in the DCVO. Web services will allow query (whether by users or applications) using the identifier for key metadata, access means, derivative products, provenance records, related artifacts of all types, etc. distinguishing citations attributable to DCO.