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This page is intended to document progress in regard to the GSIM Common = Reference Model.
This page will always refer to the most recent material that has been ma= de available for broader review and input. It will also link to earlier mat= erial.
Broader context in regard to GSIM, and the OCMIMF Collaboration Team whi= ch is progressing it as a Statistical Network initiative, is available on t= his wiki's home page for GSIM, incl= uding a linked document providing Notes= on the Generic Statistical Information Model.
A set of initial ideas from the Collaboration Team were released for wid= er input on Monday 20 June as GSIM Common Reference Model V0= .1. A list of specific unresolved questions is included in the package= of information. Comments and suggestions in regard to all other aspects of= the material are also sought.
The target date for initial feedback is Friday 1 July. Methods for provi= ding feedback are described on the home= page for GSIM.
V0.1 of the GSIM Common Reference Model is recognised by the Collaborati= on Team as an incomplete draft. For a number of months the team focused on = seeking to identify a "top level structure" which was most likely= to be intuitive for the greatest number of users. Having arrived at the cu= rrent concept only a few weeks ago, and then spent time refining it, very l= ittle work has been put in to
From one perspective it is tempting, given a newly established Level 1, = to now spend more time within Collaboration Team addressing the above two a= spects - which would allow us to present a better rounded V0.1 for review o= utside the team in a few weeks' time.
This is seen as outweighed by the following factors
The fact V0.1 is recognised to be an incomplete draft leads to some sugg= estions to reviewers.
It is expected and hoped that later draft versions (prior to V1.0) will = warrant detailed review and comprehensive feedback. Rather than investing i= n such comprehensive review for V0.1, however, attention might focus on
While a number of other sources have also been referenced, the most prom= inent means of identifying information objects for V0.1 if the GSIM Common = Reference Model has been "text mining" apparent references to inf= ormation objects in the documentation of GSBPM. While the documentation des= cription of GSBPM did not explicitly set out to catalogue and discuss the m= ost significant information objects used and/or produced in the course of t= he various sub processes, it is seen as a good heuristic approach for arriv= ing at an initial list. More information on the methods used, and the resul= ts from applying them, is available via the following page= a>
The aim is that V1.0 of the Common Reference Model should be as meaningf= ul and useful as possible to general readers (who are not ICT or Statistica= l Information Management specialists). Many other sources for identifying i= nformation objects appeared more theoretical and/or technical in nature tha= n the text mining approach. Nevertheless, a possibility remains that the te= xt mining based approach has left some significant gaps in structure and co= ntent