The phrase "and high quality data collection" is correct and usable in written English.
It can be used when discussing the standards or methods of gathering data in research, analysis, or any data-driven context.
Example: "The project aims to improve the accuracy of results through rigorous methodologies and high quality data collection."
Alternatives: "and reliable data gathering" or "and superior data acquisition".
A good team of research assistants is essential for successful recruitment and high quality data collection.
As in all observational studies as opposed to clinical trials we do not have uniform treatment nor a standard evaluation of clinical outcomes, but our regular follow-up and high quality data collection are strengths of this study.
This design was chosen to minimise ascertainment bias, facilitate identification of controls that could be matched for all potential confounding factors and ensure accurate standardised and high quality data collection.
This design was chosen to ensure accurate, standardized and high-quality data collection.
This study design was chosen to ensure accurate, standardized, and high-quality data collection.
The goal of quality assurance efforts is procedural uniformity across centers, based on consistent and high-quality data collection techniques.
Also, CARDIA has maintained a high participation rate and high-quality data collection through rigorous quality-control procedures throughout the study.
A team of ten interviewers from the local tribal communities with a minimum of high school education were selected and trained for two weeks to ensure uniform and high-quality data collection.
Ideally, frameworks for planning, monitoring, and evaluating health RCS efforts should be easily accessible to stakeholders and facilitate high quality data collection and analysis, which may necessitate different documents for different purposes and audiences.
These teams were selected based on a prior record of high quality data collection and analysis, ability to assemble an appropriately skilled and managed team, and network of contacts among HIV prevention agencies.
The MES project advocated the need for regular, high quality data collection and process mapping to better understand endoscopy services and identify the true cause of any problems in order to target redesign plans effectively.
