UMMS Affiliation

Department of Quantitative Health Sciences



Document Type



Bioinformatics | Computer Engineering | Databases and Information Systems | Genomics | Numerical Analysis and Scientific Computing


Big data create values for business and research, but pose significant challenges in terms of networking, storage, management, analytics, and ethics. Multidisciplinary collaborations from engineers, computer scientists, statisticians, and social scientists are needed to tackle, discover, and understand big data. This survey presents an overview of big data initiatives, technologies, and research in industries and academia, and discusses challenges and potential solutions.


Citation: Fang H, Zhang Z, Wang CJ, Daneshmand M, Wang C, Wang H. A survey of big data research. IEEE Netw. 2015 Sep-Oct;29(5):6-9. PubMed PMID: 26504265; PubMed Central PMCID: PMC4617656. doi: 10.1109/MNET.2015.7293298. Link to article on publisher's website

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Accepted manuscript posted as allowed by the publisher's author rights policy at

Related Resources

Link to article in PubMed


Big data, Bioinformatics, Business, Data visualization, Genomics, Medical services, Research and development

PubMed ID



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