Utah Population Database (UPDB)
The Utah Population Database at the University of Utah is one of the world's richest sources of in-depth information that supports research on genetics, epidemiology, demography, and public health. For more than 30 years, researchers at the University of Utah and other institutions have used UPDB to identify and study individuals and families that have higher than normal incidence of cancer or other diseases, to analyze patterns of genetic inheritance, and to identify specific genetic mutations.
The UPDB is the only database of its kind in the United States and one of few such resources in the world.
The Federated Utah Research and Translational Health e-Repository (FURTHeR): A major component of the CCTS is the Biomedical Informatics Core (BMIC), headed by Dr. Joyce Mitchell, PhD, Associate Vice President for Health Sciences IT and Chair of the Department of Biomedical Informatics. BMIC is charged with creating the informatics infrastructure for supporting this profoundly new approach to conducting biomedical research. BMIC's primary objective is to create and sustain a statewide set of interconnected data resources that link genotypic, phenotypic, genealogic, and health care data from all three of the major healthcare delivery networks in Utah (the University of Utah Healthcare System; Intermountain Healthcare; and the Veterans Administration Salt Lake City Health System), as well as environmental and public health data from the Utah Department of Health. Covering well over 85% of the State's clinical data and nearly 100% of the State's diverse public health data, this remarkable array of data will be integrated with Utah's unique genealogical and demographic resource, the Utah Population Database. This project is exploring innovative methods for federating the diverse data resources from the partner institutions into a virtual repository known as the Federated Utah Research and Translational Health e-Repository (FURTHeR).
Biomedical Informatics Core
The primary objective of the CCTS Biomedical Informatics Core is to create and sustain a statewide set of interconnected data resources that virtually link genotypic, phenotypic, genealogic, health care, environmental, and public health data from a disparate collection of sources.
Databib "is a searchable catalog / registry / directory / bibliograhy of research data repositories". This tool can assist researchers in finding appropriate data repositories for their own data, as well as provide data sets for exploratory analysis.
Institute of Medicine
The Institute of Medicine (IOM) has released data sets related to their study of geographic variations in Medicare spending and utilization. The CMS created the data sets from the new Geographic Variation in Medicare Spending and Utilization database, which uses Medicare claims data to calculate utilization measures as well as total/standardized/risk-adjusted spending. In addition to the CMS data sets posted by the IOM, a summary table of spending/utilization by hospital referral regions (HRRs) is posted (and allows re-sorting of the data) on the Kaiser Family Foundation web site.
WONDER online databases utilize a rich ad-hoc query system for the analysis of public health data. Reports and other query systems are also available.
The Office of Science and Technology Policy has launched a beta version of the new R&D Dashboard, an online tool that allows the public to track U.S. progress in innovation. The Dashboard website helps users document and demonstrate the impacts of federal investment in research and development. The beta version of the site, currently tracking Federal investment in NIH and the NSF over the past decade, presents data on Federal R&D awards to research institutions and links those inputs to outputs - specifically publications, patent applications, and patents produced by researchers funded by those investments. The site can sort investments at the state, congressional district, and research-institution levels.