Program Description for External Grant Submissions

When submitting a grant application, the following language is available to describe U-M investments in informatics and data sciences:

Institutional Investments

The University of Michigan is making significant investments in world-class informatics and data science initiatives, including:

  • Clinical Data Access:
    • Researchers have access to a robust Research Data Warehouse — a database with detailed clinical data on more than 3 million patients spanning 15 years — with an investigator-friendly, self-service tool called DataDirect. With more than 700 unique users annually, DataDirect provides researchers real-time access to cohort counts (no IRB required) from EHR data, available biospecimens, and genomic data. With IRB approval, research teams can develop custom data extracts to download and analyze. For clinical trial enrollment, DataDirect has functionality to link eligibility criteria with upcoming clinic schedules to optimize recruitment.
    • The Data Office for Clinical and Translational Research which manages access to DataDirect and provides datasets for researchers when the request is too complex for self-serve tools like DataDirect.
  • Genomic Data Access: Genomic variant and biostatistical services that allow for genetic variant checking against a set of over 15,000 whole genomes. This service drives the selection of >2 million exomic single nucleotide polymorphisms that form the basis for the Michigan Genomics Initiative, which currently has over 35,000 patients linked to our electronic health record, all accessible from the RDW via DataDirect.
  • Data Sciences Platform: A newly-funded $100 million University-wide Data Science Initiative which includes a new Michigan Institute for Data Science (MIDAS) and a complementary Data Science Services and Infrastructure Core that supports statistical consultation, advanced data management, and computational services, as well as a HIPAA-compliant supercomputing platform and data repository.
  • Participation in National Networks: Infrastructure to support large-scale distributed network-based research, including a fully PCORNet-compliant data mart and node; and regional and national CTSA consortia.