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Let’s start with the conventional definitions of information as data given a context and knowledge representing processed and filtered information i.e. the combination of information and understanding.
We need modifications of knowledge management (KM) to supplement traditional models. The first stage of KM is knowledge acquisition. Although whole libraries can be digitized and made accessible for enquirers, there are uncomfortable issues regarding charging. We believe strongly that all information related to increasing knowledge should be open source. Unfortunately, for understandable business reasons, a number of scientific journals continue to require paid access.
This touches on an important related question
who owns and or controls our personal data?
There are fears, as all our health and activity data becomes digitized that data may be shared without our giving permission.
The flip-side is that if sharing data is over-restricted, then data essential for monitoring of system effectiveness, or for clinical research would be compromised. Complementary to this is a thought provoking 2019 scenarios study, commissioned by Elsevier publishing entitled ‘what will the world of research look like 10 years from now?’
Our view is that the meat of this report is really about data access to information as much as research directions.
Knowledge retrieval and dissemination
We like Nancy Dixon’s hierarchy of leveraging explicit knowledge, leveraging experiential knowledge and leveraging collective knowledge. The last mentioned resonates with our approach to extending knowledge through serious conversations.
Knowledge and wisdom
We believe that the acquisition of wisdom is a task to be respected and nurtured.
Wisdom at any level, whether the native skills of forest dwellers or countrymen and women, the wisdom of children, elders in any community and the wisdom of (some) scholars or philosophers.