Sentence examples for identifying data quality from inspiring English sources

Most important, perhaps, is the usefulness of this standardized risk assessment-based approach for comparative risk assessment and for identifying data quality issues and data gaps, which serves to highlight where future efforts should be targeted to improve our understanding of Canadians' exposures to carcinogens.

Secondly, we identified data quality concerns in both the survey and administrative databases that suggest a need for improvement and further study; for example, further research could help to identify appropriate recall periods and question wording for minimizing errors in survey data, and to determine the level of detail needed to accurately identify injuries in administrative databases.

The gap distribution of unigenes was analyzed to identify the data quality.

One is that failure to identify low data quality sites translates into inaccurate aggregated reports.

Using the same sample, we then evaluated whether relationships could be identified between data quality and the fixation durations returned by standard dispersal-based algorithms.

The 2008 PRISM assessment and the four ministries at the 2010 data-use workshop identified poor data quality as a primary barrier to the use of data in decision making.

Since applying this visualization to our syndromic data, PHSKC has identified several data quality errors that are likely to have gone undetected or been slow to detect otherwise, including out of range ages and sudden data drop-offs.

Using a modified version [ 38] of the potential hierarchies of data sources for economic evaluations [ 39], we identified data of medium and low quality (Table 1); defined as scoring level 3 or below.

Interpretation of results was limited by several identified data gaps and pre-existing data-quality issues.

In both instances we performed quality checks on identified data.

The DA framework consists of identifying relevant attributes for canal structures, developing a robust scoring system for alternatives, identifying a procedure for data quality control, and identifying a MADM model for the decision analysis.