DIKW pyramid

The DIKW information hierarchy.

DIKW is the proposed structuring of data, information, knowledge and wisdom in an information hierarchy where each layer adds certain attributes over and above the previous one. Data is the most basic level; Information adds context; Knowledge adds how to use it; and Wisdom adds when to use it.( As such, DIKW is a model that can be useful to understanding analysis and the importance and limits of conceptual works.

Description

The DIKW model assumes the following chain of action:

• Data come in the form of raw observations and measurements.
• Data is transformed into information as soon as it is imbued with meaning e.g. by analyzing relationships and connections between the data. It is capable of answering simple "who/what/where/when/why" style questions. Information is a message, there is an (implied) audience and a purpose.
• Knowledge is created by using the information for action. Knowledge answers the question "how". Knowledge is a local practice or relationship that works. In essence, "knowledge derives from information as information derives from data"
• Wisdom is created through use of knowledge, through the communication of knowledge users, and through reflection. Wisdom answers the questions "why" and "when" as they relate to actions. Wisdom deals with the future, as it takes implications and lagged effects into account.

Data has commonly been seen as simple facts that can be structured to become information. Information, in turn, becomes knowledge when it is interpreted, put into context, or when meaning is added to it. There are several variations of this widely adopted theme. The common idea is that data is something less than information, and information is less than knowledge. Moreover, it is assumed that we first need to have data before information can be created, and only when we have information, can knowledge emerge.

Data are assumed to be simple isolated facts. When such facts are put into a context and combined within a structure, information emerges. When information is given meaning by interpreting it, information becomes knowledge. At this point, facts exist within a mental structure that consciousness can process; for example, to predict future consequences, or to make inferences. As the human mind uses this knowledge to choose between alternatives, behavior becomes intelligent. Finally, when values and commitment guide intelligent behavior, behavior may be said to be based on wisdom.

• Specific local properties of Data:

1. factual information (as measurements or statistics) used as a basis for reasoning, discussion, or calculation (the data is plentiful and easily available.)
2. information output by a sensing device or organ that includes both useful and irrelevant or redundant information and must be processed to be meaningful.

• Specific local properties of Information:

1. knowledge obtained from investigation, study, or instruction
2. intelligence, news
3. facts, data.

• Specific local properties of Knowledge:

1. the range of one's information.

• Specific local properties of Wisdom:

1. accumulated philosophic or scientific learning: knowledge.
2. wise attitude or course of action.

According to these definitions, data is the basic unit of information, which in turn is the basic unit of knowledge, which itself is the basic unit of wisdom. So, there are four levels in the understanding and decision-making hierarchy. The whole purpose in collecting data, information, and knowledge is to be able to make wise decisions. However, if the data sources are flawed, then in most cases the resulting decisions will also be flawed.

Imagination, Creation, Innovation and Evolution (ICIE)

The ordering of ICIE is determined by their general processing sequences. Human usually image something based on his widom or knowledge. He knows that imagination is mostly not ready to be realizable. He revises his imaginary idea to be feasible creative idea. Even though the creative idea is practical but it cannot innovate the associate system until it grews up to the status of valuable changing. If the creative idea completed without any change in our life, it is hard to regard that idea as innovative idea. Finally, continuous innovations in a specific area make our society to be evolved into higher level society so that the evolution will be the new standard of human life. After that, we will understand that evolutional changing result as a new fact, or new data. This is time for new circulation of DIKW and ICIE to be restarted.

Critical comments

The proposed use of data, information, knowledge and wisdom is not congruent with the definitions in Wikipedia. They are described intuitively and their interrelations seem to be not always congruent. In practice, any concrete formal application of the DIKW conceptualization does not exist(see: *). On the other hand, some false information about popularity of this method are included on the private phd student pages of Nikhil Sharma (external link), what is easy to see using Google search for “Knowledge Pyramid” with numerous very different definitions. DIKW is also diffused using pseudo-information pages on the web (see for example *).

References

• Ackoff, Russell L. (1989). "From Data to Wisdom". Journal of Applied Systems Analysis. 16: 3–9.
• Zeleny, Milan (1987). "Management Support Systems: Towards Integrated Knowledge Management". Human Systems Management. 7 (1): 59–70.

External links

• Nikhil Sharma: The Origin of the “Data Information Knowledge Wisdom” Hierarchy
• Data, Information, Knowledge, and Wisdom by Gene Bellinger, Durval Castro, Anthony Mills
• Jennifer Rowley: The wisdom hierarchy: representations of the DIKW hierarchy. In: Journal of Information Science, Vol. 33, No. 2, 163-180 (2007)