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The following general categories of knowledge were discussed in the present paper.
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Some extensions to other areas of knowledge are discussed.
Sharing and distribution of such knowledge is discussed and is illustrated on an implemented transportation system example.
The relative contribution of the data use PD to the intervention and the importance of content knowledge are discussed.
The implications of the findings for the study of human computer interaction, practical intelligence, and procedural knowledge are discussed.
Limitations and possibilities for using key terms for automated assessment and visual representation of community knowledge are discussed.
The design and implementation of a project developing such a knowledge service for those who need reliable and rapid access to measurement knowledge is discussed.
Their role in the social and behavioral sciences as increasingly essential components of the research infrastructure and as tools for acquiring and communicating geographic knowledge is discussed.
Finally, the modeling of imperfect channel knowledge is discussed.
Ongoing important clinical trials which could imminently yield significant new knowledge is discussed.
Extensions of this practice to learning domains that not only exercise procedural knowledge but also conceptual knowledge are discussed within the field of cognitive task analysis (Clark et al., 2008), which retains the principle of modeling expert performance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com