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Social Genome: Putting Big Data to Work for Population Informatics
Jan. 2014 (vol. 47 no. 1)
pp. 56-63
Hye-Chung Kum, Texas A&M Health Science Center
Ashok Krishnamurthy, University of North Carolina at Chapel Hill
Ashwin Machanavajjhala, Duke University
Stanley C. Ahalt, University of North Carolina at Chapel Hill
Data-intensive research using distributed, federated, person-level datasets in near real time has the potential to transform social, behavioral, economic, and health sciences--but issues around privacy, confidentiality, access, and data integration have slowed progress in this area. When technology is properly used to manage both privacy concerns and uncertainty, big data will help move the growing field of population informatics forward.
Index Terms:
Bioinformatics,Genomics,Sociology,Statistics,Informatics,Information management,Data handling,Big data,Privacy,Knowledge based systems,privacy-preserving record linkage,social genome,population informatics,data privacy,knowledge base platform,secure data access
Citation:
Hye-Chung Kum, Ashok Krishnamurthy, Ashwin Machanavajjhala, Stanley C. Ahalt, "Social Genome: Putting Big Data to Work for Population Informatics," Computer, vol. 47, no. 1, pp. 56-63, Jan. 2014, doi:10.1109/MC.2013.405
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