Model / Framework
Framework for Deploying a Virtualized Computing Environment for Collaborative and Secure Data Analytics
Authors:
Adrian Meyer ,
UNC Lineberger Comprehensive Cancer Center
Laura Green,
UNC Lineberger Comprehensive Cancer Center
Ciearro Faulk,
UNC Lineberger Comprehensive Cancer Center
Stephen Galla,
UNC Research Computing, Information Technology Services
Anne-Marie Meyer
UNC Gillings School of Public Health, Epidemiology
Abstract
Introduction: Large amounts of health data generated by a wide range of health care applications across a variety of systems have the potential to offer valuable insight into populations and health care systems, but robust and secure computing and analytic systems are required to leverage this information.
Framework: We discuss our experiences deploying a Secure Data Analysis Platform (SeDAP), and provide a framework to plan, build and deploy a virtual desktop infrastructure (VDI) to enable innovation, collaboration and operate within academic funding structures. It outlines 6 core components: Security, Ease of Access, Performance, Cost, Tools, and Training.
Conclusion: A platform like SeDAP is not simply successful through technical excellence and performance. Its adoption is dependent on a collaborative environment where researchers and users plan and evaluate the requirements of all aspects.
How to Cite:
Meyer A, Green L, Faulk C, Galla S, Meyer A-M. Framework for Deploying a Virtualized Computing Environment for Collaborative and Secure Data Analytics. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2016;4(3):4. DOI: http://doi.org/10.13063/2327-9214.1224
Published on
08 Aug 2016.
Peer Reviewed
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