Myron Gutmann
Myron Gutmann is the Assistant Director for the National Science Foundation (NSF) as well as the Head of Directorate for the Social, Behavioral and Economic Sciences at the NSF. He was among the first of the National Digital Information Infrastructure and Preservation Program partners, and played a key role in shaping the Library of Congress partnership network. His project has been highly successful in demonstrating the practical utility of a distributed preservation network, as well as in bringing at-risk data under stewardship. As a result of his fine work, the Library named Gutmann a Digital Preservation Pioneer. Receiving his Doctorate from Princeton University in the 70s, Gutmann has taught at the University of Michigan and the University of Texas at Austin. He has published several books and dozens of articles reflecting his broad range of interests in interdisciplinary historical population studies and more.
Assistant Director, National Science Foundation
Head of Directorate for the Social, Behavioral and Economic Sciences, National Science Foundation
Data Access for Research and Teaching in the Twenty-First Century
Location & Time
The scientific community is facing new opportunities and new requirements in the ways that data are managed and made available for future research. There has been a dramatic increase in the volume of data produced by observations, experiments, and simulations, turning a steady stream of data into a flood that spans the globe. This in turn calls for new infrastructure and new architectures that will allow researchers to make use of those data and engage in new long-distance collaborations. At the same time, policy makers are moving forward rapidly to require that data from publicly-financed research projects be shared, while they simultaneously concern themselves with protecting the privacy and confidentiality of human research subjects. This presentation will discuss these changes in the data environment, and suggest ways that all the potential stakeholders in the process can work together in the future to get the most out of our data investments.
