Sentence examples for rigor and data from inspiring English sources

"We want to bring a level of analytical rigor and data analysis to the hiring process".

The LDS church sponsors BYU and urges that course subjects, including the theory of evolution, be taught with the same subject matter, rigor and data as other universities across the US (BYU Mission Statement; see Additional file 1: Appendix C).

Each paper that met our inclusion criteria was rated based on methodological rigor and data were systematically abstracted.

Web-publishing ratings and rationales along with data allows sharing of results in various states of validation by the end of the course, as outside researchers then have a more complete picture of experimental rigor and data validity.

The research on Web search behavior reflects researchers' commitment to examine users in their information environment and exhibits rigor in design and data analysis.

To support the new types of interaction, we must advance data modeling, information organization, and knowledge representation for an integrated discovery and leaning system to ensure the rigor and relevance of data curation.

Supervisors are responsible for the timeliness and rigor of data collection and ensure that all eligible children are asked to participate, the survey visits are scheduled on time, facilitate team logistics and timely delivery of the biomarkers.

Because our research was nested within the larger cluster randomized control trial, it benefited from the rigor and quality of data collection.

Moreover, methodologic advancements—such as modeling of TCE toxicokinetics, meta-analyses of epidemiologic studies, and analyses of mechanistic and noncancer hazard information have improved the scientific rigor and transparency of data interpretation.

This level of scientific rigor and the extensive data of a GLP study allow a regulatory agency to conduct a comprehensive review and to reach a fully independent conclusion.

Both the depth of the GISAH and the rigor of data collection and validation make it an indispensable tool for policy development and evaluation, as well as for global research (e.g., the Global Burden of Disease 2010 estimates were based on WHO global monitoring [ Lim et al. 2012; Shield et al. 2013]).