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This feature is of critical importance for data quality purposes.
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Study findings presented in this paper are based on a selected sub-sample of participants who underwent replicate examinations for data quality assurance purposes.
For quality purposes, data were extracted only after the date when there was evidence that general practices were using their computer system fully (acceptable computer use (ACU) dates 14) and mortality were adequately recorded (acceptable mortality rate (AMR) 15).
The Demographic and Health Surveys (DHS) and the Multiple Indicator Cluster (MIC) Surveys are the most utilized surveys and play a key role in establishing national targets, targeting interventions, and for advocacy purposes; data quality is thus paramount (4).
The LQAS system with 85%/95% thresholds maintains data quality sufficient for program purposes and minimizes time required for data review/cleaning.
Consequently, ConiferEST was designed to be a unique and complementary EST resource that can fill these gaps by focusing on the previously ignored features for the purposes of data quality control, validation and integration and for the possibility to explore new potential functional motifs embedded in large EST datasets.
Mechanisms to evaluate data quality and fitness-for-purpose are required [see paragraphs 20 and 23].
ConiferEST was designed to reprocess conifer traces to obtain better annotation of all raw sequence features, including 3' and 5' termini in both sense and non-sense strands, for the purpose of data quality control, validation and integration and for the possibility to explore new potential functional motifs embedded inside large EST datasets.
The alterations of audio signals for data embedding purposes may affect the quality of these signals.
The curator(s) at our site conducts manual verification of the original publication(s) for data validation purposes to maintain the quality and integrity of the database.
For quality assurance purposes team leaders assessed data quality for all cases and independently re-evaluated a 10% sample of retrospective and prospective case records during data collection.
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