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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Bibliographic Details
Published inBulletin of science, technology & society Vol. 37; no. 4; pp. 212 - 217
Main Author Gogołek, Włodzimierz
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.12.2017
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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.
ISSN:0270-4676
1552-4183
DOI:10.1177/0270467619864012