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Abstract Architectural Lines

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Architecture of Information

  • Jun 2
  • 2 min read

Data, Information and Knowledge

The differences between data, information, and knowledge are nuanced but important. These definitions continue to evolve, modelled after the DIKW model [1].

  • Data refers to raw points that do not contain any context. For example: 25, 30, 30, and 31.

  • Information is data that has been classified, giving it meaning. For example: 25, 30, 30 and 31 are ages.

  • Knowledge is information connected to other information in a way that creates context and understanding. For example, 25, 30, 30 and 31 are the ages of the four youngest Nobel Prize winners in Physics [2].

 

Three-panel graphic showing data as scattered circles, information as filled dots, and knowledge as connected nodes.

Figure 1: Representation of data, information and knowledge

 

Under this model, information and knowledge cannot exist without data. Each layer builds on the one before it. Data becomes information when context is added, and information becomes knowledge when connections create understanding. People and institutions constantly interpret and organise data to create meaning. The way information is organised matters because context shapes how people understand the world around them.


Healthcare provides a practical example of this process. A blood pressure reading on its own is simply data. Placed within a medical context, it becomes information. When connected to a patient’s family history, medications and previous records, it becomes knowledge that can inform diagnosis and treatment.


Information shapes the world

The effects of information extend beyond the digital world. Access to information influences access to education, economic opportunity, and participation in society itself. Every second, enormous volumes of data are transformed into information. The systems that organise information shape how people understand the world around them. For that reason, these systems should be open, transparent and accessible to all, rather than concentrated within institutions and platforms. 

 

The Decentralised Human Architecture (DHA) Foundation supports transparent systems designed to reduce information concentration and place human agency at the centre of technological development. Its role is not to determine what people should believe. That responsibility belongs to the individual. Instead, the DHA Foundation focuses on creating conditions where information is more accessible, transparent, and evenly distributed. Access to information alone cannot guarantee equal outcomes, but unequal access almost always limits opportunity.

 

References

1. Ontotext. What Is the Data, Information, Knowledge, Wisdom (DIKW) Pyramid? [Online] [Cited: 21 May 2026.] https://www.ontotext.com/knowledgehub/fundamentals/dikw-pyramid/.

2. Outreach, Nobel Prize. Nobel Prize laureates by age. NobelPrize.org. [Online] 2025. [Cited: 2 December 2025.] https://www.nobelprize.org/prizes/lists/nobel-laureates-by-age.

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