Version 13 (modified by ianglendinning, 13 years ago)


Template Characterization

This page describes the methodology by which any data set is characterized in terms of 15926.

IMPORTANT NOTE 2011 - The information on this page, including the IDS-ADI Characterization Methodology, is being updated and consolidated into the JORD Mapping Methodology. (Latest JORD Project information here.)

The characterization methodology proceeds from a business-use definition of that data set (aka a "foreign schema") via its expression as P7L (aka short-cut, Gellish or Part-7-Lite) templates to transformation into short-hand or full Part-7 / Part-2 expressions. This page and the linked specifications define the process by which short-cuts templates are selected and assembled to create that characterization.

This page and subsequent pages will therefore also explicitly document the short-cut / short-hand and other specific template types implied by that methodology. All templates used are reference data, managed at any time in the WIP RDL (or project RDL extensions).

  • Back to MmtSig (Modelling, Methodology & Technology SIG)
  • Forward to TemplateStartingSet for initial set of templates to be available in the WIP
  • Forward to TemplateMinimumSubSet minimum subset necessary to populate new WIP content.

For formal definition and implementation of Part-2-explicit-Part-7 representations follow the links above.

The methodology below is a detailed elaboration of existing earlier specifications capturing industry best-practice for characterizing or mapping existing business data sets in ISO15926 terms.

For REFERENCE ONLY, below are links to the earlier documents:

  • P7L Characterization Methodology IDS-120-001 Iss 2x (2006).
    The earlier 2006 IDS version of the Methodology Document.
  • ECMv3 Usage Patterns (1999).
    Early (1999) public description of "Templates" as usage patterns, based on Gellish naming or relation types. An original EPISTLE Useage Patterns Specification (pre-cursor to Part 7) focussing on industry best-practice in characterizing business data in ISO15926 terms.


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