Sentence examples for acceptable levels of data from inspiring English sources

The phrase "acceptable levels of data" is correct and usable in written English.
It can be used when discussing standards or thresholds for data quality, quantity, or compliance in various contexts, such as research, data analysis, or regulatory requirements.
Example: "The study was deemed valid as it adhered to the acceptable levels of data required by the funding agency."
Alternatives: "permissible amounts of data" or "satisfactory data thresholds".

Exact(2)

We used only practices that met standards for acceptable levels of data recording.

Although there seems to be ample space for improvement, criteria and acceptable levels of data quality are lacking.

Similar(58)

This enables OSM to maintain an acceptable level of data quality [5].

To take up arms against these errors, SD cards are essentially over-engineered to ensure an acceptable level of data retention.

We continued our work until we felt we had reached an acceptable level of data saturation.

The threshold for an acceptable level of data completeness may vary by outcome.

Recruitment ceased after 13 interviews, as an acceptable level of data saturation was reached.

34 Patients within eligible practices entered the study on the latest of three possible dates: the date of registering with the practice; the date when the practice provided acceptable mortality rates; or the date when the practice attained an acceptable level of data recording.

If the proposed method is found to produce an acceptable level of data linkage on the basis of tests derived from statistical theory, then subsequent studies can be used to further determine if and for what purposes the proposed linkage strategy could be used (for example, examining patterns of service use for policy-related research versus clinical research).

The random error in analytical recovery estimates and unbiased concentration estimates may be attributable to several sources, and knowing the relative contribution from each source can facilitate strategic design of experiments to yield more precise data or provide an acceptable level of information with fewer data.

Our results show that, when compared to other schemes, GRASS improves system lifetime with acceptable levels of latency in data aggregation and without sacrificing data quality.

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