Sentence examples for increasing availability of data from inspiring English sources

Partly, this is due to the increasing availability of data.

With the increasing availability of data, the use of SEM holds immense potential for ecologists in the future.

The increasing availability of data on characteristics and functions of biomolecules and small chemical compounds enables researchers to better understand various chemical, physical and biological processes or activities with the use of machine learning methods [1 7].

Digital Epidemiology is a new field that has been growing rapidly in the past few years, fueled by the increasing availability of data and computing power, as well as by breakthroughs in data analytics methods.

But while Longfield describes the increasing availability of data as offering "enormous advantages", she is also very clear on major risks unfolding — be it to safety and well-being; child development and social dynamics; identity theft and fraud; and the longer term impact on children's opportunity and life chances.

Industry 4.0 is driven by improved data gathering processes enabled by transistors in integrated circuits doubling in capacity every 2 years (called Moore's Law), thereby lowering cost of digital electronics, reducing size of components, facilitating portability and increasing availability of data through connected machines (Deloitte, 2015).

This increased availability of data permitted publication in 2005 of intrapartum stillbirth rates for 192 countries.

A unique strength of the DHP tool is that it brings together data from multiple sources, which increases availability of data and saves data users significant time that would have been spent retrieving and merging different data sets.

Other key drivers were strong strategic leadership, increased investment, and the creation of more stable and centralised commissioning structures to enhance observance of national guidelines, as well as increased availability of data for outcomes monitoring and local benchmarking.

In light of the increasing availability of genomic data, data sharing and open access policies were promoted by large international consortia in order to maximize the use of generated datasets and enhance the statistical power of studies.

In the meantime, challenges continue to emerge as increasing availability of 'big data' (e.g. sequence data) keeps moving the goalpost.