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Article
A survey of big data research
Population and Quantitative Health Sciences Publications
  • Hua (Julia) Fang, University of Massachusetts Medical School
  • Zhaoyang Zhang, University of Massachusetts Medical School
  • Chanpaul Jin Wang, University of Massachusetts Medical School
  • Mahmoud Daneshmand, Stevens Institute of Technology
  • Chonggang Wang, InterDigital
  • Honggang Wang, University of Massachusetts - Dartmouth
UMMS Affiliation
Department of Quantitative Health Sciences
Publication Date
2015-10-8
Document Type
Article Postprint
Abstract

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.

Keywords
  • Big data,
  • Bioinformatics,
  • Business,
  • Data visualization,
  • Genomics,
  • Medical services,
  • Research and development,
  • UMCCTS funding
Rights and Permissions
© 2015 IEEE. Accepted manuscript posted as allowed by the publisher's author rights policy at http://www.ieee.org/publications_standards/publications/rights/rights_policies.html.
DOI of Published Version
10.1109/MNET.2015.7293298
Source

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

PubMed ID
26504265
Related Resources

Link to article in PubMed

Citation Information
Hua (Julia) Fang, Zhaoyang Zhang, Chanpaul Jin Wang, Mahmoud Daneshmand, et al.. "A survey of big data research" Vol. 29 Iss. 5 (2015)
Available at: http://works.bepress.com/hua_fang/32/