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Table 2 Data quality indicators and sub-indicators

From: Review of data quality indicators and metrics, and suggestions for indicators and metrics for structural health monitoring

Data management phase

Indicator

Definition

Acquisition

Correctness

data is accurate, precise, and consistent

Accuracy

the measured value of data is close to the real-world

Precision

the measured data values are close to each other

Consistency

the measured data is free of internal contradictions with respect to a rule

Redundancy

the measured data is not unique (multiple sets of data exist)

Processing and sharing

Accessibility

the measured data is available and can be shared reliably

Interoperability

the measured data is concise and interpretable by machines

Security

the access to data can be restricted to other parties and kept secure

Traceability

the sources of data are known

Supporting decisions

Timeliness

the data is up-to-date when needed

Completeness

all required data are available in the dataset

Relevancy

the data is useful for the task at hand