Definition:
Lack of standardization refers to the absence of uniform rules, methods, procedures, or criteria across different individuals, institutions, or systems. This variability can lead to inconsistent outcomes, reduced comparability, and hindered reproducibility.
Key Characteristics:
No common guidelines or protocols
High inter-operator or inter-institutional variability
Difficulty in ensuring quality and consistency
Barriers to data comparison, pooling, or benchmarking
Examples:
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In
data science: datasets with incompatible formats or definitions
Consequences:
Inaccurate or non-generalizable results
Reduced credibility and reliability of findings
Inefficiencies in communication and collaboration
Increased risk of error or harm in clinical and technical contexts
Related concepts: