Mission
Advancing data science to accelerate biomedical research and improve human health
New Administrative Systems (Workday) Launch July 7
The University of Wisconsin System is launching Workday at in July to replace the current system-wide human resources (HRS) and financial (SFS) systems.
What does this mean?
- All UW-System employees will be doing self-service and other tasks in Workday rather than the current systems.
- Administrative staff will transition from one system to the other with no overlap, and will have a significant learning curve during the first weeks of the launch.
- You will be assigned training to prepare for the cutover. It's important to take advantage of this training before the new system goes live.
- Current administrative systems will be offline during the cutover.
When will this happen?
- The cutover will take approximately one month beginning mid-June, probably June 13.
- Most current administrative systems will be unavailable during the cutover period, including the pre-award system (RAMP) used for submitting grant proposals.
- We do not have SMPH cutoff dates yet. The SMPH dates will be earlier than the campus dates.
Impact of cutover
- The research administrators will not be able to process any grant-related items during the cutover period.
- Submit proposals for that period by June 10 or wait until after July 15.
Visit the ATP website often for updates.
Contact Sue Carlson with BMI-specific questions.
BMI Workday Cutover Deadline for Proposals
June 13 (Friday) Deadline
What you need to do: finalize and submit proposals with due dates between June 13 and July 11.
Applies to: grant proposals with due dates between June 13 and July 11
Why: to allow sufficient time for proposals to route through the campus approval and submission process before the June 20 Research and Sponsored Programs proposal deadline.
NOTE: If you have a proposal due in the week of July 14, you may wish to submit it early (by June 13) just in case something happens during the launch that affects campus ability to submit proposals.
Background:
A key part of the transition to Workday is moving all the data from our current administrative systems to the Workday databases. This includes moving data housed in the RAMP databases.
RSP will not accept proposals after June 20, 2025, and will not be available again until after the data transfer to Workday is completed and possible until after the Workday launch.
If you are planning to submit a proposal for a deadline for July 14 or later, wait to start the RAMP record until after RAMP becomes available again.
You can see additional information on RSP deadlines related to grants, agreements, and post-award management at https://rsp.wisc.edu/workday/.
About Us
The Department of Biostatistics & Medical Informatics (BMI) is the home of data science for the University of Wisconsin-Madison School of Medicine & Public Health (UW SMPH), an academic medical center. BMI is a leading research hub and training center for biomedical data sciences, including biostatistics and biomedical informatics.
BMI investigators are engaged in basic discovery science, clinical trials, image analysis, genomics, computational biology, and population studies, and they advance research throughout the SMPH. This research is often multi-faceted and collaborative, and faculty have joint or affiliate appointments with many other campus units: Statistics, Computer Sciences, Population Health Sciences, Electrical and Computer Engineering, the Morgridge Institute for Research, and the Wisconsin Institute for Discovery.
BMI is home to MS and PhD Programs in Biomedical Data Science (BDS). Our faculty contribute to many other degree programs, including the Biostatistics Degree Option (Dept of Statistics), Clinical Investigation, Computer Sciences, Electrical and Computer Engineering, and several professional degree programs.
BMI faculty and research staff provide consultation and collaboration in the planning, design, conduct, and analysis of basic, translational, and clinical research.
PhD in Biomedical Data Science
The current explosion of biomedical data, including Electronic medical records (EHR), biomedical imaging, and genomics/proteomics/metabolomics, provide an awesome opportunity to improve understanding of the mechanisms of disease and ultimately to improve human health care. The Doctoral Degree Program in Biomedical Data Science will provide you with a unique blend of skills including programming, data management, data analysis, and machine learning. Successful graduates will be prepared to fully harness the power of high-dimensional, heterogeneous data. Potential students include both students with bachelor’s degrees in an area of data-science (e.g., computer science, statistics), as well as health professionals, clinicians, and others with degrees related to biomedicine (e.g., biology, biochemistry, genetics). Consider applying today!
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