A formal definition of Big Data based on its essential features

Andrea De Mauro (Department of Enterprise Engineering, University of Rome Tor Vergata, Rome, Italy.)
Marco Greco (University of Cassino and Southern Lazio, Cassino, Italy)
Michele Grimaldi (University of Cassino and Southern Lazio, Cassino, Italy)

Library Review

ISSN: 0024-2535

Publication date: 4 April 2016

Abstract

Purpose

The purpose of this paper is to identify and describe the most prominent research areas connected with “Big Data” and propose a thorough definition of the term.

Design/methodology/approach

The authors have analysed a conspicuous corpus of industry and academia articles linked with Big Data to find commonalities among the topics they treated. The authors have also compiled a survey of existing definitions with a view of generating a more solid one that encompasses most of the work happening in the field.

Findings

The main themes of Big Data are: information, technology, methods and impact. The authors propose a new definition for the term that reads as follows: “Big Data is the Information asset characterized by such a High Volume, Velocity and Variety to require specific Technology and Analytical Methods for its transformation into Value.”

Practical implications

The formal definition that is proposed can enable a more coherent development of the concept of Big Data, as it solely relies on the essential strands of current state-of-the-art and is coherent with the most popular definitions currently used.

Originality/value

This is among the first structured attempts of building a convincing definition of Big Data. It also contains an original exploration of the topic in connection with library management.

Keywords

Citation

De Mauro, A., Greco, M. and Grimaldi, M. (2016), "A formal definition of Big Data based on its essential features", Library Review, Vol. 65 No. 3, pp. 122-135. https://doi.org/10.1108/LR-06-2015-0061

Download as .RIS

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.