Refining Big Data
Refining big data is a new multipurpose way to find, collect, and analyze information obtained from the web and off-line information sources about any research subject. It gives the opportunity to investigate (with an assumed level of statistical significance) the past and current status of informat...
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Published in | Bulletin of science, technology & society Vol. 37; no. 4; pp. 212 - 217 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Los Angeles, CA
SAGE Publications
01.12.2017
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Subjects | |
Online Access | Get full text |
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Summary: | Refining big data is a new multipurpose way to find, collect, and analyze information obtained from the web and off-line information sources about any research subject. It gives the opportunity to investigate (with an assumed level of statistical significance) the past and current status of information on a subject, and it can even predict the future. The refining of big data makes it possible to quantitatively investigate a wide spectrum of raw information on significant human issues—social, scientific, political, business, and others. Refining creates a space for new, rich sources of information and opens innovative ways for research. The article describes a procedure for refining big data and gives examples of its use. |
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ISSN: | 0270-4676 1552-4183 |
DOI: | 10.1177/0270467619864012 |