Data vs. Information
Kettinger, William. J., & Li, Yuan. (2010). The infological equation extended: towards conceptual clarity in the relationship between data, information and knowledge. European Journal of Information Systems, 2010(19), 409-421. doi:10.1057/ejis.2010.25; published online 11 May 2010
Purpose (What are the objectives for writing the paper?):
Provide a clear distinction between data, information and knowledge as it relates to information systems (IS) and the implications for IS related research. Several well-known theories are identified and exposed as reference along with developing an extension based upon Langefors’ (1973) infological equation. This continued research provides a framework for further research and ongoing studies related to these core IS concepts.
Design / Methodology / Approach (How are the objectives achieved? Include the main methods used for the research and the approach to the topic.):
Provide and describe the core building blocks of IS (data, information and knowledge)
Provide comprehensive review of the most fundamental models that describe the relationships between these core concepts
Propose a revised model called “Knowledge-Based Theory” (KBI) suggesting dual roles for both data and knowledge.
Main Points / Findings / Conclusions (What are the main points? What was found in the course of the work, and what are the major conclusions? This will refer to analysis, discussion, or results.):
Core concepts to the IS field are data, information and knowledge
Information and knowledge management in IS related disciplines continues to evolve through continued research studies and evolution of technology
Information and its relationship with data and knowledge are exposed through various research models to assist in clarifying its meaning and any further implications as it relates to further IS research
Review of the infological equation along with its limitations suggest the reason for its lack of interest in current IS research and
Purpose (What are the objectives for writing the paper?):
Provide a clear distinction between data, information and knowledge as it relates to information systems (IS) and the implications for IS related research. Several well-known theories are identified and exposed as reference along with developing an extension based upon Langefors’ (1973) infological equation. This continued research provides a framework for further research and ongoing studies related to these core IS concepts.
Design / Methodology / Approach (How are the objectives achieved? Include the main methods used for the research and the approach to the topic.):
Provide and describe the core building blocks of IS (data, information and knowledge)
Provide comprehensive review of the most fundamental models that describe the relationships between these core concepts
Propose a revised model called “Knowledge-Based Theory” (KBI) suggesting dual roles for both data and knowledge.
Main Points / Findings / Conclusions (What are the main points? What was found in the course of the work, and what are the major conclusions? This will refer to analysis, discussion, or results.):
Core concepts to the IS field are data, information and knowledge
Information and knowledge management in IS related disciplines continues to evolve through continued research studies and evolution of technology
Information and its relationship with data and knowledge are exposed through various research models to assist in clarifying its meaning and any further implications as it relates to further IS research
Review of the infological equation along with its limitations suggest the reason for its lack of interest in current IS research and