Sentence examples for prominence of data from inspiring English sources

In a move that reflects the growing prominence of data science in the U.S., the White House has named DJ Patil as the nation's first chief data scientist.

Point being this is about the prominence of information, and individuals' data protection rights as regards their personal information.

Rationale: The intention of this question is to identify the prominence of big data analytics in the research relating to big data technologies in manufacturing, as well as classifying the specific type of analytics being used.

The increasing importance of data-intensive cheminformatics algorithms, the growing recognition of problems with existing data collections, and the rising prominence of open lab notebook data means that the community has an opportunity to correct some of the persistent data quality problems that have plagued the field ever since large datasets began to be made publicly available on the Internet.

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As has been reported for sorghum (Petti et al., 2013), the prominence of band c in our data suggests higher amounts of S lignin in stem when compared with leaf tissues.

It was reasoned that those themes which were identified in many reports (reflecting greater extent of data) should be given greater prominence in in-depth qualitative analysis than those which were only mentioned in a few reports.

Results of data analysis showed that in order of prominence female participants exhibited more deceitfulness and theft than the male participants.

We selected services for HIV/AIDS as the focus for this study because of this condition's prominence among health problems in Rwanda and relatively good availability of data.

Complementing this data is the prominence of value in former teachers' decisions to leave the field, as well as teachers' interviews, which were sprinkled with phrases like 'just a language teacher' and 'not a real teacher'.

As data streams are gaining prominence in a growing number of emerging applications, advanced analysis and mining of data streams is becoming increasingly important.