Sentence examples for significant data collection from inspiring English sources

The process of licensing a new reactor design is also daunting, requiring significant data collection for model verification and validation to provide confidence in safety margins associated with operating a new reactor design under normal and off-normal conditions.

Past investigations of the public health consequences of natural disasters, such as earthquakes, have generally suffered from a lack of comprehensive data due, in part, to the difficulty faced in mounting a significant data collection effort in the aftermath of such an event.

It did not have the right underlying assumptions, was incomplete, and there were significant data collection issues, leaving predictions open to wide margins of error.

As of May 1, however, an important and significant water data collection program in New York City will be suspended due to funding cuts, according to the USGS.

Contextual issues in countries visited were explored through the significant qualitative data collection component of the PEPFAR evaluation.

Since publication of the BJC supplement, volume 101; 'Evidence for a National Awareness and Early Diagnosis Initiative' (NAEDI) in December 2009, there has been considerable investment and significant research, data collection, analysis, policy activity and application of interventions under the auspices of NAEDI.

The field of spectroscopy alone has seen significant advances in data collection, processing, and analysis due principally to the incorporation of microprocessors.

Because the charge measurement in the LZ detector is sensitive to single electrons, electrons from the grids can be both a significant nuisance for data collection and a source of background at low-energies, limiting the sensitivity of the experiment for low-mass WIMPs.

Although the quality of the studies varied, they found "significant improvement" in data collection since 2003 in Morocco, Egypt, Lebanon, Iran, Tunisia, Sudan, and Pakistan.

A dynamic mathematical model for each transport network element would require a significant level of data collection and verification, which could result after a certain number of iterations of the 'instant' application of the framework.

This means that in practice, many different input variables need to be assessed if large and complex models are analysed and a significant amount of data collection and preparation seems necessary.