The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.01 - Jan. (2014 vol.47)
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
ABSTRACT
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
58 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool