Sentence examples for impact on data collection from inspiring English sources

The matter of the term disability not being one widely spread in Brazil had an impact on data collection which we explain further.

Charge coupled devices (CCD -based deteCCD -based madetectorsr impact on data collection in electron microscopy over thaveast few years.

The best practice may therefore yield greater satisfaction with the research process, because privacy is seen as protected in accordance with patient preference but results in minimal impact on data collection or the analytic plan.

The impact of the ideological and theoretical perspectives inherent in the study of usual care, and their impact on data collection and analysis were not always clear, and we were unable to assess the sustainability of change that could be attributed to educational interventions beyond three years.

Little is known about the impact of data collection method on self-reported cancer screening behaviours, particularly among hard-to-reach populations.

However, the impact of data collection experimental design on the subsequent simulation studies has not been adequately addressed.

Back in June 2015, Sanders attempted to tack on an amendment to the National Defense Authorization Act that would have at least allocated two years into researching the impact of data collection and mass surveillance on privacy rights.

For these reasons, collaboration between HEFCE and other public funding agencies, medical research charities, universities, and the wider medical research community is required in order to develop and validate a common set of impact indicators with universal guidelines on data collection.

Meanwhile, the impact of different distribution types of events on data collection has not been sufficiently valued in designing of data collection algorithms for IWSNs.

Meanwhile, the impact of different distribution types of events on data collection has not been sufficiently valued in designing of data collection algorithm for IWSNs yet.

It is a tragedy to spend a huge amount of effort on data collection and analysis, only to fail, and lessen the data's impact, at the finish line.