Data, Information, Knowledge, and Wisdom

Definition of Data, Information, Knowledge, and Wisdom (DIKW)

The DIKW hierarchy (Data–Information–Knowledge–Wisdom) is a widely accepted framework in Information Science and Knowledge Management. It explains how raw facts are transformed into meaningful insights and sound decisions.

1. Data

Definition:
Data are raw, unprocessed facts, figures, symbols, or observations that have no inherent meaning when considered independently.

Characteristics:

  • Raw and unorganized
  • Context-free
  • May be qualitative or quantitative
  • Forms the foundation for information

Examples:

  • 85, 90, 78, 88
  • "25°C"
  • Student ID: 202501

Definition by Ackoff (1989):

"Data are symbols that represent properties of objects, events, and their environment."

2. Information

Definition:
Information is processed, organized, and contextualized data that conveys meaning and is useful for understanding or decision-making.

Characteristics:

  • Meaningful and organized
  • Provides context
  • Reduces uncertainty
  • Answers questions such as who, what, where, and when

Examples:

  • "The average score of the class is 85.25."
  • "Today's temperature is 25°C."

Example:
Raw data:

85, 90, 78, 88

Information:

"The four students scored 85, 90, 78, and 88 marks, with an average of 85.25."

3. Knowledge

Definition:
Knowledge is the understanding and interpretation of information gained through experience, learning, analysis, and practice. It enables people to make informed decisions.

Characteristics:

  • Derived from information
  • Based on experience and expertise
  • Supports problem-solving and decision-making
  • Can be explicit or tacit

Examples:

  • "Students scoring below 80 require additional academic support."
  • A librarian knowing which database is most suitable for a research query.

Definition by Davenport and Prusak (1998):

"Knowledge is a fluid mix of framed experience, values, contextual information, and expert insight."

4. Wisdom

Definition:
Wisdom is the ability to apply knowledge with sound judgment, ethics, insight, and foresight to make the best decisions in complex situations.

Characteristics:

  • Highest level of understanding
  • Based on knowledge, experience, and values
  • Involves ethical reasoning
  • Focuses on long-term consequences

Examples:

  • A teacher redesigning the curriculum after identifying recurring learning gaps.
  • A librarian developing an inclusive information literacy programme based on users' evolving needs.

Definition by Russell Ackoff (1989):

"Wisdom is evaluated understanding."

DIKW Hierarchy

           Wisdom

      (Sound Judgment)

              ▲

              │

         Knowledge

 (Understanding & Experience)

              ▲

              │

        Information

   (Processed Data)

              ▲

              │

            Data

 (Raw Facts & Figures)

Example of DIKW

Level

Example

Data

95, 88, 72, 90

Information

The average examination score is 86.25.

Knowledge

Students with scores below 75 need additional coaching.

Wisdom

Introduce remedial classes and continuous assessment to improve future performance.

Comparison Table

Aspect

Data

Information

Knowledge

Wisdom

Meaning

Raw facts

Processed data

Understanding of information

Judicious application of knowledge

Context

None

Present

Strong

Comprehensive

Basis

Observation

Processing

Experience and learning

Insight, ethics, and judgment

Purpose

Record facts

Inform

Guide decisions

Make the best decisions

Example

38°C

"Today's temperature is 38°C."

"High temperatures increase dehydration risk."

"Issue a heat advisory and arrange public cooling centres."

Importance of the DIKW Hierarchy

  • Explains the transformation of raw data into actionable insights.
  • Supports effective decision-making in organizations.
  • Forms the basis of information systems and knowledge management.
  • Helps librarians and information professionals organize, retrieve, and disseminate information effectively.
  • Facilitates evidence-based research and strategic planning.

Conclusion

The DIKW hierarchy illustrates the progression from data (raw facts) to information (meaningful data), knowledge (understanding gained from information), and wisdom (the ability to apply knowledge with sound judgment and ethical consideration). In Library and Information Science, this framework is fundamental for information organization, knowledge management, and informed decision-making, making it an essential concept for research and professional practice.

 এই বিষয়বস্তুটির বাংলা সংস্করণের জন্য এখানে ক্লিক করুন

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