alexa Expectations and Pitfalls of Big Data in Biomedicine
ISSN: 2315-7844


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Perspective Article

Expectations and Pitfalls of Big Data in Biomedicine

Miguel A. Mayer*
Hospital del Mar Medical Research Institute (IMIM), DCEXS, Universitat Pompeu Fabra (UPF), Barcelona, Spain
Corresponding Author : Mayer MA
Research Programme on Biomedical Informatics (GRIB)
Hospital del Mar Medical Research Institute (IMIM)
DCEXS, Universitat Pompeu Fabra (UPF)
C/o Dr. Aiguader, 88, 08003- Barcelona, Spain
Tel: +34 93 316 0648
E-mail: [email protected]
Received August 25, 2015; Accepted October 17, 2015; Published October 19, 2015
Citation:Mayer MA (2015) Expectations and Pitfalls of Big Data in Biomedicine. Review Pub Administration Manag 3:171. doi:10.4172/2315-7844.1000171
Copyright: ©2015 Mayer MA. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Big Data is one of the trending topics in information management, marketing and also in healthcare. Big Data describes a new generation of technologies and architectures that allow us to extract value from massive data volumes and types by enabling high-velocity capture, discovery and analysis of distributed data. Big Data is characterized by the so-called four V’s: volume and complexity of data, velocity of collecting, storing, processing and analyzing data, variety in relation with different types of data (structured, unstructured and semistructured) and veracity or ‘data assurance’ about data quality, integrity and credibility

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