What is created when data and information are identified along with their relationships?

When data and information are identified along with their relationships, knowledge is created. Knowledge comprises the understanding and insights gained from analyzing and synthesizing data and information. It goes beyond just having raw facts; it involves recognizing patterns and correlations, as well as drawing conclusions based on the context of the data. This process transforms mere data into actionable insights that can inform decisions, drive strategies, and enhance understanding.

In contrast, meta-data refers to data that provides information about other data, such as its format, origin, or context, but does not represent knowledge itself. Information systems are structured frameworks that collect, store, and process data, but they do not inherently produce knowledge without human interpretation. Learning outcomes are the results of an educational process, which may involve knowledge gained, but they do not directly represent the fusion of data and information relationships to form knowledge. Thus, the creation of knowledge is uniquely tied to the identification and understanding of the relationships among data and information.