University Resources
Services
Informatics infrastructure is about providing services to the University community to meet their informatics needs. The University of Minnesota has many places where these needs can be met. The role of UMII is to bring the services together in a way that makes it easy to find them and to identify ways to meet the "latent needs" to accelerate discovery.
UMII Services provide basic informatics analysis. The Minnesota Supercomputing Institute (MSI) provides a large collection of resources to the University informatics community, including computational platforms, high performance storage, and informatics software. All health related enterprise systems are managed by the Academic Health Center Information Services, (AHC-IS), the Clinical and Translational Science Institute (CTSI), or by units or research groups within the Academic Health Center (AHC). The University of Minnesota Libraries offers Digital Library Services that include digital collections an digital preservation. The Office of Information Technology provides a wide range of robust and innovative IT Services for Researchers.
Infrastructure needs are across the data life cycle that is shown below in a high-level schematic. Implementations of pipelines, however, differ among fields and increase in complexity when data require specific protection, such as PHI.
Informatics Resources
Informatics resources at the University of Minnesota are distributed among institutes, centers, colleges, departments, and other units. The information provided here is frequently updated. If you would like your resource included, email landw020@umn.edu.
AHC Information Systems Center for Bioethics
Clinical and Translational Science Institute
Consortium on Law and Values
Genomics Center
Institute for Health Informatics
Institute for Mathematics and its Applications
Minnesota Supercomputing Institute (MSI)
Office of the Vice President for Research (OVPR)
Minnesota Supercomputing Institute’s Research Informatics Solutions (RIS)
Technology Commercialization
University Libraries Data Management