databehandlingsparadigm
The term databehandlingsparadigm refers to a set of principles and methods that guide how data is acquired, processed, analyzed, and interpreted in a given context. It encompasses the theoretical foundations, practical techniques, and ethical frameworks that underpin data handling activities. A solid data handling paradigm is essential for ensuring that results are reliable, reproducible, and trustworthy, particularly in scientific research, business intelligence, and public policy.
Historically, data handling evolved from manual record keeping to mechanized tabulation in the 19th century, and
Key components of a data handling paradigm include data governance, quality assurance, processing pipelines, analytical models,
In practice, organisations adopt a hybrid approach, selecting elements from multiple paradigms to suit their specific