Difference between revisions of "Data Universality"
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Latest revision as of 00:29, 8 May 2021
Data Universality is the feasibility of using a single universal data component to represent information of any type. The extensibility and versatility of using simple, regular, distinguishable data element to encode the information content is unbounded given that time and space boundaries are unbounded. This property gives the universality in data science.