Data Science


Data science is a concept that incorporates varying elements and builds on techniques and theories from many fields, including math, statistics, data engineering, pattern recognition and learning, advanced computing, visualization, and high performance computing with the goal of extracting meaning from data and creating data products. Data science seeks to use all available and relevant data to effectively tell a story that can be easily understood by non-practitioners. Data scientists are professionals who work with datasets (large and small) to extract meaning from them and provide their findings to research teams and even big businesses.

Further Resources

GilPress. (2012). A Very Short History of Data Science. What’s The Big Data?(link is external) [Blog].

Larson D, Chang V. (2016). A review and future direction of agile, business intelligence, analytics and data science(link is external). International Journal of Information Management, 36(5), 700–710.

Martin E. (2016). The Role of Librarians in Data Science: A Call to Action(link is external). Journal of eScience Librarianship, e1092.

Stanton J. (2012). An Introduction to Data Science(link is external). Syracuse, NY: Creative Commons.

Search for a Term

Send us your feedback or suggestions for new terms

Contact information
CAPTCHA This question is to prevent spam submissions. Contact for any accessibility issues.
1 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.