title: Unlocking the Power of Big Data at the National Institutes of Health.
abstract: The era of "big data" presents immense opportunities for scientific discovery and technological progress, with the potential to have enormous impact on research and development in the public sector. In order to capitalize on these benefits, there are significant challenges to overcome in data analytics. The National Institute of Allergy and Infectious Diseases held a symposium entitled "Data Science: Unlocking the Power of Big Data" to create a forum for big data experts to present and share some of the creative and innovative methods to gleaning valuable knowledge from an overwhelming flood of biological data. A significant investment in infrastructure and tool development, along with more and better-trained data scientists, may facilitate methods for assimilation of data and machine learning, to overcome obstacles such as data security, data cleaning, and data integration.
authors.affiliation: Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases , National Institutes of Health, Bethesda, Maryland.
authors.forename: Meghan F
authors.initials: MF
authors.lastname: Coakley
authors.affiliation: Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases , National Institutes of Health, Bethesda, Maryland.
authors.forename: Maarten R
authors.initials: MR
authors.lastname: Leerkes
authors.affiliation: Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases , National Institutes of Health, Bethesda, Maryland.
authors.forename: Jason
authors.initials: J
authors.lastname: Barnett
authors.affiliation: Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases , National Institutes of Health, Bethesda, Maryland.
authors.forename: Andrei E
authors.initials: AE
authors.lastname: Gabrielian
authors.affiliation: Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases , National Institutes of Health, Bethesda, Maryland.
authors.forename: Karlynn
authors.initials: K
authors.lastname: Noble
authors.affiliation: Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases , National Institutes of Health, Bethesda, Maryland.
authors.forename: M Nick
authors.initials: MN
authors.lastname: Weber
authors.affiliation: Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases , National Institutes of Health, Bethesda, Maryland.
authors.forename: Yentram
authors.initials: Y
authors.lastname: Huyen