Message-ID: <1669330936.3791.1495542663550.JavaMail.confluence@ece-vmapps> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_3790_1651184210.1495542663550" ------=_Part_3790_1651184210.1495542663550 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html v0.1 GSIM Common Reference Model

v0.1 GSIM Common Reference Model

This version was available for comment from 20= June to 1 July 2011.

Introduction

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.

Current Status

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.

Notes in regard to GSIM Common Reference Model V0.1.

Recognition of V0.1 as an incomplete draft

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

  1. aligning the new approach with the work of the CORE ESSNet, with the wo= rk on the MCV Ontology and so on
  2. reviewing and developing "Level 2" and "Level 3" wi= thin the GSIM Common Reference Model in the context of the newly establishe= d "Level 1"

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

Suggestions = to reviewers

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

Text mining of information objects from documentation o= f GSBPM

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

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

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