Data Science in Research
Whitepaper
Researchers in large organizations, non-profit, and higher education institutions are blazing trails to new discoveries using data science. Techniques such as machine learning and text mining are freeing researchers from many of the tedious and repetitive tasks that research traditionally demands—and broadening their pool of potential funding sources—to expand the boundaries of what is possible in academic inquiries.
Advantages of data science in research include:
- Faster data collection and cleaning.
- Elimination of repetitive and time-consuming tasks.
- Expanded methodologies through such techniques as sentiment analysis and neural networks.
- Increased potential for research grant awards.
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