"big data research" is a correct and usable phrase in written English.
It is typically used to refer to scientific or academic studies that analyze large sets of data, often using advanced technology and techniques. Example: The company's success can be attributed to their investment in big data research, allowing them to better understand their target demographic and make informed decisions for their marketing strategies.
CareKit is the follow-up to ResearchKit, which allows medical researchers to build big data research programmes around iOS.
To identify the gaps on big data research trends in different fields, researchers have to investigate or review the comprehensive sources and databases about the papers published in the field.
The findings of this study provide relevant researchers with a panorama of worldwide big data research and the established direction for further study to the field and most relevant research areas.
Economists, both in academia and in business, see a pressing need these days behind the flurry of Big Data research.
Hong Kong entrepreneur Li Ka-shing pledged £20m to help establish a new centre, staffed by 600 scientists, bringing together big data research from different fields of medicine.
And with Google, Facebook, Twitter and many other leading data-heavy technology companies based in the Bay Area, many locals are on the cutting edge of Big Data research.
We demonstrate that researchers with limited resources may still be able to conduct big-data research by focusing on a specific type of data.
Yet Silver is notably cautious about the predictive power of big-data research.
This may seem that only large companies or organizations with lucrative budgets can afford big-data research.
Specifically, VanderPlas believes that universities have to change their reward system or risk losing the very people whose expertise makes big-data research possible.
VanderPlas offers a couple of intriguing suggestions for countering industry's allure and keeping the talent needed for big-data research within academe.
