As any true scientist should know, science has a context of discovery and a context of validation (I wonder how many of those who call themselves “data scientists” know the concepts). In the former, experiments are usually done to discover relationships -- a theory (to be validated in the latter, in which further implications thereof can also be derived). So there is no theory/conceptual model/knowledge yet. Data or information can be represented by any database (e.g. a SQL database can represent variables and/or runs as columns and/or rows in tables), docubase and even file -- none is superior or inferior for analytical purposes.
Read it all.
Please comment there, not here.
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