Building a solid data architecture requires someone with extensive experience. The planetary science data architecture, for example, is an international effort with many sub-disciplines. Capturing data compliant to that data architecture requires defining a solid, consensus-based model and that takes time and it is a community effort. Other efforts aren't as rigorous, so I think it depends on the application and use of OODT. In some cases, it may be a simple model.
Dan. On 1/14/12 9:59 PM, "B W" <[email protected]> wrote: >The first critical step in determining whether or not OODT should be >adopted seems to be predicated on being able to define a Common Data >Dictionary (CDD) for a given domain or at least be able to map an internal >Synonymous Data Dictionary to the Common Data Dictionary. > >I think I read in a published OODT experience report that the task >required an individual with at least 2 years experience. > >Is there a consensus on what is required across the board? > >Also, have there been any AI approaches applied such as >clustering/combined >weighted algorithms to aid in the task? > >Thx.
