Data, Information, Knowledge, Wisdom (DIKW) hierarchy
From Learning and training wiki
DATA, INFORMATION, KNOWLEDGE, WISDOM (DIKW) HIERARCHY | |
The Data, Information, Knowledge, Wisdom (DIKW) hierarchy is illustrated in the form of a pyramid comprising of four levels. [1] A progression is indicated as you move through each level starting at the base of the pyramid and reaching the top.
The process begins by gathering Data, at the first level, which is then processed to form Information at the second level. When this Information is examined or considered it takes the form of Knowledge, at the third level, and the creation of Knowledge leads to acquiring Wisdom at the fourth or topmost level. Data, forming the base of the hierarchy, can be compiled either manually or through automated systems and value is added to these inputs by interpreting and converting them into a useable and meaningful format termed as Information. When Information is applied in a particular situation and converted to expertise it comes to be defined as Knowledge. Wisdom is found at the pinnacle of the DIKW hierarchy and differs from data and information, both of which can be harnessed, and also from knowledge which can be shared. Wisdom is more abstract as it is something intrinsic and is typically an accumulation of values, judgements, prior experience or interpretations. In organisations, Data and Information are seen as tools to perform tasks and improve operations, while implementing systems and practices creates Knowledge, and the building-up of Knowledge through which transformations and learning takes place generates Wisdom.
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Web Resources |
Below is a video explaining the DIKW model:
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Link | Content |
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Concepts of Knowledge Management: Data, Information, Knowledge, Wisdom | This video explains the content and application of each level of the DIKW hierarchy in simple terms. |
References
- ↑ The Wisdom Hierarchy, Editor's Desk: Data, Information, Knowledge, Wisdom, The Knowledge Pyramid: A Critique of the DIKW Hierarchy, Wisdom- the blurry top of human cognition in the DIKW-model,Basic Knowledge Concepts- Data, Information, Knowledge and Wisdom, Training, Capacity Building and Media Development, Paradigm, Distinguishing information, data, knowledge and wisdom, Knowledge management – An Overview, The Business of Knowledge Management, Knowledge Management: The Essence of the Competitive Edge; Colugnati, F.A.B, Lopes, L.C.R. and Barretto, S.F.A, Digital Eco-Systems: Third International Conference, OPAALS 2010, Aracujú, Sergipe, Brazil, March 22-23, 2010, Revised Selected Papers