Health disparities research is enabled by data diversity but requires much tighter integration of collaborative efforts

The spectrum of individual health is moulded not solely by genetics or socio-economics [2], but by a combination of numerous factors, which include other key parameters such as geographic location [3] (to reflect rurality or segregation that can reduce access to care), impeding monitoring, risk reduction, diagnosis, and treatment of medical conditions [4]. QUALITY CONTROL AND NOVEL ANALYTICS Thorough HD studies require very large longitudinal data sets [7] to enable inclusion of all relevant factors while maintaining statistical significance. If society wants to properly address HD, then all stakeholders - the diverse communities, clinicians, scientists, engineers, and policymakers - must work together at every stage of the process; from the identification of a need, the experimental design, the data generation, and analysis to the dissemination and implementation of outcomes. 1 Centre for Computational Biology, University of Birmingham, Edgbaston, Birmingham, UK 2 Institute of Cancer and Genomic Sciences, University of Birmingham, Edgbaston, Birmingham, UK 3 National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA 4 Carl R. Woose Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA 5 Department of Food Science and Human Nutrition, Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA 6 Cancer Center at Illinois, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA