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Dikw And Critical Thinking

DIKW

The DIKW Pyramid describes, an as yet not fully understood, but fundamental relationship between knowledge and information

DIKW framework describes a hierarchical relationship between data, information, knowledge, and wisdom. The hierarchy referred to variously as the ‘Knowledge Hierarchy’, the ‘Information Hierarchy’ and the ‘Knowledge Pyramid’ is one of the fundamental, widely recognized models in the information and knowledge literatures. It is often quoted, or used implicitly, in definitions of data, information, and knowledge in the information management, information systems and knowledge management literatures. Typically information is defined in terms of data, knowledge in terms of information, and wisdom in terms of knowledge, but there is less consensus in the description of the processes that transform elements lower in the hierarchy into those above them.

Data

Data comes in the form of signs and signals, such as numbers, words or other signs that represent discrete facts about an objective reality. Data can be described with reference to objective metrics and thus can be verified and decisively proven to be correct or incorrect. Data is an organized string of symbols that represents something, a set of signs that represent empirical stimuli or perception. They are unorganized and without interpretation and thus data has no meaning. We can use automated computation to capture and sort data

Information

Information comes from providing context to data. It is data that has been endowed with meaning and purpose. Information can be used to answer interrogative questions such as “who”, “what”, “where”, “how many”, “when” etc.

Knowledge

Knowledge is the synthesis of multiple sources of information over time, to create conceptual frameworks, theories, and axioms. Knowledge gives context through experiences, values, and insight; enabling judgment based upon justifiable belief. Knowledge is tacit, it has a subjective dimension to it, meaning once made symbolic, and objective, knowledge is reduced to information. As Einstein said “knowledge comes from experience, everything else is information.”

Wisdom

Wisdom is the quality of having experience, knowledge, and balance judgment through seeing the whole

Wisdom is a state of awareness, a paradigm or set of principles; it is the ultimate context and frame of reference. Wisdom is the ability to use knowledge to make correct judgments in response to a unique context, without the aid of facts. Wisdom is the know why, an evaluated understanding, acceptance and appreciation of why something is the way it is, it is seeing the whole. Wisdom involves knowing the right things to do, for the greater good. It requires a sense of what is right and wrong, ethical and unethical. It is most uniquely human.

Pyramid Structure

The knowledge pyramid defines a purported functional relationship between information and knowledge, where lower levels comprise the material or building blocks for the higher levels. Going up the hierarchy requires synthetic reasoning that integrates and synthesizes the building blocks into more organized and generic patterns. Going down the hierarchy involves analytical reasoning, wherein more generalized concepts are broken down into their constituent parts. Moving up or down the hierarchy defines a process that involves greater, meaning, context, subjectivity, and automation. The DIKW framework is believed to define a fundamental structure to information and knowledge.

 

Complexity Labs 2018-02-13T10:49:17+00:00

    The paper evaluates the data—information—knowledge—wisdom (DIKW) hierarchy. This hierarchy, also known as the `knowledge hierarchy', is part of the canon of information science and management. Arguments are offered that the hierarchy is unsound and methodologically undesirable. The paper identifies a central logical error that DIKW makes. The paper also identifies the dated and unsatisfactory philosophical positions of operationalism and inductivism as the philosophical backdrop to the hierarchy. The paper concludes with a sketch of some positive theories, of value to information science, on the nature of the components of the hierarchy: that data is anything recordable in a semantically and pragmatically sound way, that information is what is known in other literature as `weak knowledge', that knowledge also is `weak knowledge' and that wisdom is the possession and use, if required, of wide practical knowledge, by an agent who appreciates the fallible nature of that knowledge.