Greg Monaco holds degrees in Speech/Communications (BSS, Northwestern University) and Cognitive Psychology (MS, Ph.D., Kansas State University).
Monaco lead research teams in developmental experimental psychology at the University of Kansas and Kansas State University. He served as a program director at the National Science Foundation and managed a portfolio of $89 million in research awards, as the Directory for Research with the Great Plains Network Consortium and as a psychologist and administrator at the Kansas Neurological Institute in Topeka, Kansas.
Monaco left academia and state service for several years to found and develop a company to improve services to individuals with intellectual disabilities at state hospitals and community agencies. The company developed data-based software applications for institutional management and positive behavioral supports, staff training programs for public and private agencies throughout the US and Canada, and community based services in Northeast Kansas.
Monaco has been PI and co-PI on over 20 competitive awards from state and national funding agencies throughout his career. He is the author/co-author of several seminal publications in cognitive and developmental psychology.
Monaco currently serves as the President and CEO of Monaco & Associates Incorporated. He is a member of Actor's Equity Association and the Screen Actors Guild-AFTRA.
This paper provides an introduction to the special networking needs of data-intensive research programs and some of the approaches that have been developed to address those needs. It is intended for IT leadership and staff who are familiar with enterprise networking.
Universities and colleges should consider an institution-wide approach to developing services for managing and curating research data. This paper identifies service areas and includes a framework for institutions to document current research data curation services and responsibilities.
In October 2015, an NSF-funded meeting brought together representatives from campuses, regional research and education networking organizations, and national computational facilities to discuss current limitations to expanding access to advanced CI resources and to identify ways to better coordinate their efforts.
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