DIKW is a foundational framework in Personal Knowledge Management (PKM) & Information Science that represents the hierarchical relationship between Data, Information, Knowledge, and Wisdom. It maps the flow of our cognitive processing from raw data to actionable wisdom.

Data

  • Raw, unprocessed, and unfiltered observations, facts & readings
  • Exists as numbers or characters without context
  • Example: “12012012” is just a string of numbers without context
  • As modern knowledge workers, we’re constantly immersed in data flows

Information

  • Processed, structured, and filtered data with basic context
  • Answers “Who”, “What”, “When”, “Where” questions
  • Created through:
    • Error cleaning
    • Measurement
    • Visualization
    • Analysis
    • Pattern recognition
    • Combining different datasets
  • Example: Converting “12012012” into “January 12, 2012” by adding context

Knowledge

  • Internalized understanding of information with context and relationships
  • Answers “Why” and “How” questions
  • Involves:
    • Understanding causal relationships
    • Connecting information pieces
    • Forming coherent models
    • Applying information toward goals
  • Knowledge management involves managing both knowledge cues and information

Wisdom

  • Integration of knowledge into action and decision-making
  • Represents deeply internalized knowledge that feels like intuition
  • Characteristics of wisdom:
    • Better decision-making
    • Problem-solving capabilities
    • Synthesis ability
    • Anticipatory thinking
    • Application of general frameworks
    • First principles and analogical reasoning

Important Notes

  • Non-linear Process:
    • The progression is rarely sequential
    • Involves iterative and messy movements between stages
    • Constant back-and-forth between acquiring new data and updating knowledge
  • Foundation for Other Frameworks:
    • Many frameworks build upon DIKW
    • Example:
      • Tiago Forte’s CODE framework
      • My CETDE framework
  • Value Progression:
    • Each level adds more value to the initial data
    • Enriching data with meaning and context leads to better insights
    • Ultimate goal is making better, data-driven decisions

The DIKW pyramid represents how we transform raw data into actionable wisdom through progressive stages of understanding and context-building.