Browsing by Author "Barnett, William"

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    IUPUI Imaging Research Initiative
    (Office of the Vice Chancellor for Research, 2013-04-05) Holland, Mark; Barnett, William; Burr, David B.; Day, Richard; Du, Eliza Y.; Gattone, Vincent, III; Fletcher, James; Johnson, Daniel P.; Long, Eric; Molitoris, Bruce A.; Palakal, Mathew; Salama, Paul; Sturek, Michael; Hutchins, Gary D.
    Imaging has become an essential research tool in a majority of scientific disciplines. The IUPUI Imaging Research Initiative (IRI) has been established to bring together researcher investigators who develop novel imaging technologies with those who utilize imaging tools to advance their research with the primary objective of building a large scale imaging research infrastructure at IUPUI. An Imaging Research Council has been created to establish priorities for the IRI and help guide the development of an IUPUI research imaging infrastructure and sustainable research funding base. The specific goals of the council include: • To encourage and coordinate collaboration among IUPUI researchers from different disciplines • To provide advice and guidance in the realization of highly competitive large grant proposals that will support and grow the IUPUI imaging efforts into major nationally and internationally recognized programs • To develop a strategic plan that will enable IUPUI to become nationally and internationally known as the place for imaging research and its applications • To determine strategic areas of strength and growth • To determine available and needed resources • To determine strategic external partnerships
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    The medical science DMZ: a network design pattern for data-intensive medical science
    (Oxford University Press, 2018-03-01) Peisert, Sean; Dart, Eli; Barnett, William; Balas, Edward; Cuff, James; Grossman, Robert L.; Berman, Ari; Shankar, Anurag; Tierney, Brian; Medical and Molecular Genetics, School of Medicine
    Abstract: Objective We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. Materials and Methods High-end networking, packet-filter firewalls, network intrusion-detection systems. Results We describe a “Medical Science DMZ” concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs. Discussion The exponentially increasing amounts of “omics” data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of biomedical research “Big Data.” The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for biomedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical sciences and engineering research to manage high-capacity data flows. Conclusion By implementing a Medical Science DMZ architecture, biomedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.