title: Opportunities and challenges of big data for the social sciences: The case of genomic data.
abstract: In this paper, we draw attention to one unique and valuable source of big data, genomic data, by demonstrating the opportunities they provide to social scientists. We discuss different types of large-scale genomic data and recent advances in statistical methods and computational infrastructure used to address challenges in managing and analyzing such data. We highlight how these data and methods can be used to benefit social science research.
authors.affiliation: Department of Sociology, The University of North Carolina at Chapel Hill, USA; Carolina Population Center, The University of North Carolina at Chapel Hill, USA; School of Criminal Justice, The University of Cincinnati, USA. Electronic address: hexuanl@live.unc.edu.
authors.forename: Hexuan
authors.initials: H
authors.lastname: Liu
authors.affiliation: Department of Sociology, The University of North Carolina at Chapel Hill, USA; Carolina Center for Genome Sciences, The University of North Carolina at Chapel Hill, USA; Carolina Population Center, The University of North Carolina at Chapel Hill, USA.
authors.forename: Guang
authors.initials: G
authors.lastname: Guo
mesh_terms: D019295:Computational Biology; D016678:Genome; D023281:Genomics; D006801:Humans; D012106:Research; D012942:Social Sciences
keywords: Gene-environment interaction; Genomic data