The IDS project - Intelligent Data Sets

Methodology

A myriad of proprietary data sheet formats are in use in the industry. This variety of data sheets represents a major hindrance to efficient exchange and sharing of data. In an effort to overcome this ISO, API, NORSOK and others have been developing their own sets of standard data sheets. These could have been used to support IO, provided they were used in a consistent manner. Unfortunately most companies implement their own versions and these are not subject to consistent quality control.

Therefore IO should be based on standardised product type descriptions (i.e. product models that are independent of presentation formats) and defined quality levels for input control. Such descriptions can be subdivided and interfaced to any type of presentation format for significant work flow and productivity benefits. In addition, by identifying and extracting ‘implicit information’ to support collaborative work processes, presentation format limitations introduced by such ‘implicit information’ is removed. The standardization of explicit and implicit terms and definitions using an international standard, and linking these in a product model allows for the product model to be used by any application.

The project will

• develop product models in ISO 15926 Part 4 that are sufficiently semantically rich to cover
   all lifecycle phases and the needs of all involved parties, including both explicit and
   implicit information contained in data sheet and support current and to be work processes
• develop templates for information exchange in 15926-7 based on the product models and
   the existing and new work flows.
• Test application interfaces shall be developed to test the completeness of the product
   models to support current and new work flows.
• facilitate vendors testing their applications and data templates using ISO 15926 Part 7 for
   compliance with the product models.
• develop methodology, model and a template for work process migration from G1 to G2
   levels.
• develop work flow configuration models based on data exchange protocols, decision
   loops and shared-activity maps. Technical criteria shall be developed to facilitate
   changeover from existing to new workflows. This should include work process-to-work
   process (W2W) interface design within and between organizations (ref. G1 and G2).
• develop a methodology for seamless W2W communication and optimization of integrated
   work processes shall be tested and validated.

The resulting neutral information model and collaborative process work solutions will be available in the public domain to enhance wider use and industrial applications.

Data and information quality has increasingly become important to industry. A recent study presented (at the PELC Conference in 2005) by Aker Kvaerner UK based on 8 data sets used in series and each data set at a data integrity level varying from 75-100% showed that when the data integrity level was at 91%, employee effectiveness was only at 50%. This same study presented that in many industries the level of engineering information integrity is actually around 75%, which relates to resource effectiveness of only 11% of its potential. Increasing data and information quality has significant repercussions especially when data is being used and reused within and between companies. Furthermore, change approval cycles can be reduced which allows for more efficient collaborative work processes.

Software that is developed for the test facility will test software modules and systems, software interface adapters, data according to product model and test processes. In addition, the software should be able to support managing reference data, product models and internationalization of reference data.

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