Sentence examples for prevalence of data from inspiring English sources

Exact(11)

This study, for the first time, reveals both the low prevalence of data sharing policies and practices in OA journals, which differs from the previous studies of commercial journals' in specific disciplines.

What counts as an appropriate analytics equilibrium can vary, depending on a number of different factors including the skill level and experience of those utilizing data, the prevalence of data usage in the organization, the data goals of the organization — and, of course, the data culture.

With the growing prevalence of data breaches and the massively interconnected world we live in, new ways to verify identity and protect privacy will be game changers.

Given the prevalence of data in today's digital age, and the trend towards 'smart living' based on data, the ruling has the potential to be hugely impactful in India both now and in the future.

As previously discussed, the prevalence of data generation is phenomenal and can be collected from a range of sources, thus producing exabytes of information regularly.

To avoid the biasing effect of multiple outcomes within the same study, all meta-analyses on the main outcome of interest (i.e. the prevalence of data fabrication, falsification and alteration) were conducted using only one outcome per study.

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Similar(49)

With the prevalence of data-centric computing, the key to achieving energy efficiency is to reduce the latency and energy cost of data movement.

Because of the prevalence of missing data for transfusion, we performed multiple imputation by chained equations to account for missing data [ 23- 25].

Prevalence of 3D data acquisition optical systems demands development of dedicated algorithms for an efficient analysis of such data in various fields of civil engineering, entertainment, and industry.

We will assess the prevalence of missing data and examine robustness of intervention effects under various assumptions regarding plausible patterns of missing data in sensitivity analyses.

Another problem is the prevalence of outlier data points.

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