Fang, Hua (Julia)Zhang, ZhaoyangWang, Chanpaul JinDaneshmand, MahmoudWang, ChonggangWang, Honggang2022-08-232022-08-232015-10-082015-10-21<p>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. <a href="http://dx.doi.org/10.1109/MNET.2015.7293298" target="_blank" title="http://dx.doi.org/10.1109/MNET.2015.7293298">Link to article on publisher's website</a></p>10.1109/MNET.2015.729329826504265https://hdl.handle.net/20.500.14038/46696Big 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.en-US© 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.Big dataBioinformaticsBusinessData visualizationGenomicsMedical servicesResearch and developmentUMCCTS fundingBioinformaticsComputer EngineeringDatabases and Information SystemsGenomicsNumerical Analysis and Scientific ComputingAccepted Manuscripthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=2153&amp;context=qhs_pp&amp;unstamped=1https://escholarship.umassmed.edu/qhs_pp/11537747435qhs_pp/1153