PKM consists of practical methods for making sense of the increasing digital information flows around us. There is no procedural method to go from data to wisdom. On this Stephen Downes and I agree, though he thinks I adhere to the DIKW model.
That said, while this is a much better model than this, I think it stays true to the original ‘filtering’ vision, where you go from data to wisdom through successive filtering processes. And while there are different ways to think of knowledge — processed, procedural, propositional — this model I think adheres to a more basic view.
Here are some images from a presentation on PKM I will be giving at our local university tomorrow and including in a workshop next week. Data does not create information, information does not create knowledge, and knowledge does not create wisdom. People use their knowledge to make sense of data and information. People create information that represents their knowledge, which can then be more widely shared.
Data + Knowledge = Information
Seek, Sense, Share: Find
PKM is an approach for dealing with information by making our thoughts more explicit through filing, classifying, commenting, writing, presenting, conversing, mashing, etc. PKM itself will not make us any wiser, just as accumulating knowledge does not equate to wisdom.
The ways of adding value to information I described in my last post (Filtering; Validation; Synthesis; Presentation; Customization) are not a series of steps, only some of the ways we can make sense of information, for ourselves and for others.