The Office of the Vice Chancellor for Research (OVCR) is always working to improve research services and processes at Washington University. Below are links to some projects currently ongoing throughout the OVCR.

Research Analytics

An evolving suite of interactive dashboards for analyzing extramural funding.

STAR Bootcamp

In cooperation with the STAR Advisory Board, the STAR Program has developed a six-week training bootcamp with a post-award focus for newly hired Research Administrators (in their position for a year or less).

Animal Studies Education

Researchers working with animal models must complete regulatory online training modules to ensure animals are used appropriately and humanely. The Institutional Animal Care and Use Committee (IACUC), Division of Comparative Medicine (DCM), and Research Education & Information (REI) are redesigning these trainings to include the most current and relevant information.

Lab Animal Management & Protocol System (LAMPS) Project

The LAMPS project implemented a new animal protocol, procurement, and resource management system. Protocol and procurement management have transitioned to LAMPS.

The final phase of the LAMPS streamlines cage management and tracking for billing. This phase reduces manual processes and increases transparency into billing. Implementation will be done building-by-building over the course of several months in 2024.

Washington University is launching, a workflow and project management tool to help standardize pre- and post-award research administration. Research Administrators at Washington University can use to manage their workflow from proposal submission to award setup.

Research Development Office

The Research Development Office guides faculty in the pursuit of research funding, the formation of cross-disciplinary science teams, and the development of collaborative research center proposals.

  • Find Funding Opportunities
  • Proposal Management Services
  • Idea and Team Development
  • Resources for Developing Highly Competitive Proposals
  • Resources for ARPA-H Proposals
  • Internal Selections