The following ten tenets of Knowledge Aware convey the constituent principles and philosophy that enable the Knowledge Aware approach:
* Tenet #6 Continued – Quality of Retained Know-how is actively and continuously measured.
Retained Know-how quality can be thought of as a Signal-to-Noise ratio; a ratio of desired qualities of the know-how (Signal) to undesired qualities (Noise), measured in each packet of the Retained Know-how. The measure of quality of Retained Know-how is often referred to as ‘Vitality’ of retained know-how.
Examples of the desired qualities of the Retained Know-how include: relevant, correct/up-to-date/truthful, fully articulated (contexts, examples, justifications, etc.), well-formed and structured; digitally executable to the extent possible, and efficiently reused or compact to the extent possible. Noise, on the other hand, is the absence of these qualities in the Retained Know-how. With a bottom-up elicitation of the technical know-how, maintaining a high collective Signal-to-Noise ratio in an aggregate Retained Know-how becomes imperative. To maintain such high ratio, the Retained Know-how quality levels must be systematically inferred and managed. The measure of the quality of Retained Know-how is often referred to as ‘Vitality’ of retained know-how.
** Tenet #8 Continued – A single packet of Retained Know-how has a single Gold Source, allowing for reuse without copying; Gold Sources are managed within a single system.
In contrast to traditional methods, a single Gold Source packet of Retained Know-how can be reused anytime and anywhere without creating copies of the original knowledge set. The need for copying the referenced material is eliminated. Copies of knowledge = ‘bad’. All Gold Sources are managed through a single, common, enterprise-wide Retained Know-How Process and concomitant Retained Know-how Services.
All point-of-use specific repositories for the Retained Know-how are obviated by this single system. The application rule bases, best-practices databases, lessons learned databases, standards systems, parameter sheets, requirements systems, and standards systems are unified into one seamless system for the Retained Know-how. This single source of truth is important to the end-user as a single stop solution for all things knowledge.