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Knowledge quality is the value of knowledge. This includes its usefulness, relevance, timeliness, accuracy, precision and traceability. Knowledge can be useful without being completely accurate. Likewise, knowledge that is accurate can be useless. As such, assessing the quality of knowledge requires context and insight into how the knowledge is used and whether it is fit for purpose. The following are common elements of knowledge quality.
Usefulness | Credibility | Based on evidence or expertise | Traceability – a record of how the knowledge originated | Accuracy | Free from errors | Free of biases | Verified | Peer reviewed | Relevance | Fit for purpose – useful given its context of use | Completeness | Timeliness and freshness | Objectivity | Consistency | Ethical – respects privacy, intellectual property rights and sensitivities | Validity | Transparent – knowledge that is open to challenge and inspection | Maintained and improved – knowledge that is actively improved | Discoverable – knowledge that can be searched and explored | Accessibility – the knowledge is available where it is needed | Actionable – knowledge that can be used to improve actions and decisions | Non-obvious – obvious statements aren’t particularly valuable | Knowledge advantage – knowledge that isn’t available to the competition |
Knowledge quality shouldn't be confused with correctness. Quality is more about usefulness and value given the purpose of knowledge. Knowledge that is somewhat ambiguous and partially incorrect could still be quite high quality. For example, a well-connected salesperson who often identifies firms that "appear to be" in the market for an expensive software product. This knowledge may be completely ambiguous and based on rumor but nonetheless may be worth far more than certain knowledge that is available to all competitors. Next read: Examples of Knowledge Analysis
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