UAMS receives $1.9 million for cyberinfrastructure

by Talk Business & Politics staff ([email protected]) 407 views 

The University of Arkansas for Medical Sciences received $1.9 million from the National Science Foundation to help the state establish a cyberinfrastructure platform that will improve on Arkansas’ existing data science strengths and competitiveness.

The money is part of a five-year $20 million grant from NSF’s Established Program to Stimulate Competitive Research awarded to the Arkansas Economic Development Commission’s Division of Science and Technology in partnership with UAMS and seven other colleges and universities around the state.

The program, Data Analytics That Are Robust and Trusted (DART), brings together Arkansas data scientists in partnership with data-driven industries to focus research and skills development on data science and analytics. DART is led by AEDC and the University of Arkansas, Fayetteville.

UAMS’ role has two parts. One is development of the Coordinated Data Science Cyberinfrastructure – the Arkansas Research Platform, led at UAMS by Fred Prior, Ph.D., professor and chair of the Department of Biomedical Informatics in the College of Medicine.

As part of the effort, UAMS and UAF recently signed a memorandum of understanding that enables the two institutions to build and share additional computational infrastructure as part of DART.

“This platform will enable researchers at all EPSCoR member institutions in Arkansas to access state-of-the-art computing and storage resources to enable new avenues of big data research,” said Prior, who is joined on the project by Lawrence Tarbox, Ph.D., assistant professor in the Department of Biomedical Informatics. “The high-bandwidth connection between our institutions, as well as other significant system upgrades, will foster even more collaboration across the state.”

The Arkansas Research Platform will be designed and built as part of existing high-performance computing resources at UAMS, UAF and other sites. It will support a variety of machine and statistical learning, graph theory, bioinformatics, and geoinformatics, parallel computation and distributed memory using high-performance computing for analysis of large datasets. Researchers will also have improved data sharing infrastructure and the ability to stream data to distant sites.

UAMS’ second key role is the management of biological data across institutions. David Ussery, Ph.D., a professor in the Department of Biomedical Informatics, is the UAMS lead for this effort, also known as data curation.