Sentence examples for data quality and reliability from inspiring English sources
That code says there should be equal access to data and analysis, and the producers of statistics should provide information about data quality and reliability.
At sample collection for handling and preservation, the American Public Health Association (APHA 2005) standard procedures were followed to guarantee data quality and reliability.
In order to comprehensively quantify environmental footprints and effectively guide sustainability efforts, functional units need to be standardized, systems boundaries expanded, data quality and reliability improved, and study scopes broadened.
The results indicate satisfactory data quality and reliability of the DCGM-37 when used in children undergoing treatment for cancer.
Information from repeatedly spotted array elements and repeatedly hybridised experiments help to assess data quality and reliability.
Achieving an adequate response rate has traditionally been viewed as an indicator of data quality and reliability [ 19].
Furthermore, Yamamoto (2015) analyzed and reported data quality and dataset reliability.
Objectives: To evaluate response rate, data quality, and score reliability of the 40 item Amyotrophic Lateral Sclerosis Assessment Questionnaire in a survey of MND patients.
Consistent with established best practices of systematic evidence-based reviews, we support use of transparent, objective criteria for determining data quality and study reliability.
Our objectives are to document these data sources, report on public availability and possible complementary uses of data from these sources, discuss data limitations and strengths in the context of their use for particular mortality indicators and analyses, and make recommendations for improving data quality and the reliability of mortality estimation.
These include a systematic review of relevant individual studies, including an evaluation of data quality and study reliability; a systematic evaluation of consistency, specificity, and reproducibility of specific outcomes; an articulation and evaluation of hypotheses that bear on available data; and a comparison of how well each hypothesis describes the available data.
