Sentence examples for data sets and quality from inspiring English sources

Minimum data sets and quality assurance are considered under the section on reporting.

The quality-aware extensions and features are extremely useful when users need to assess the quality of relational data sets and define quality constraints for acceptable data prior to using candidate data sources in decision support systems and conducting big data analytical tasks.

Full brain and skull coverage was required for the MRI data sets and detailed quality control carried out on all MR images according to previously published quality control criteria (Simmons et al., 2011).

Data sets and related quality issues can also be addressed in a collaborative environment through the "Paxata Share" feature.

The ability of SubMap to find common subtypes across data sets is, of course, dependent on the representation of the subtypes in those data sets, and the quality and granularity of their labeling.

This study illustrates the usefulness of multivariate statistical techniques for analysis and interpretation of complex data sets, and in water quality assessment, identification of pollution sources/factors and understanding temporal/spatial variations in water quality for effective surfacewater quality management.

This technique help efficiently for analysis and interpretation of special data sets, and in water quality assessment, identification of pollution sources/factors and understanding seasonal variations in water quality for effective water quality river management.

This approach is expected to support sharing consistent BIM data sets and confirming the quality of received data pertaining to the syntax and semantics of a targeted model view.

Figures 9 and 10 present how metadata is created for Twitter-based data sets, and how the data quality evaluation process is started in the Back-end node: Fig. 9 Data quality evaluation (sequence 1).

It is apparent that the accuracy of such predictions relies on both the completeness of the underlying data set and the quality of the seeding knowledge.

* AIMs in ASW HapMap data set and passing quality control for the different panels (locus call rate ≥ 95%, minor allele frequency > 0.01, and HWE p ≥ 1.0×10-3).