Research Administration and Proposal Submission System (RAPSS)
Online training is available for RAPSS, the university-wide system used for processing all grants and contracts.
Workshops and Training
The Office for Research offers a variety of training and educational opportunities to help Rutgers researchers and those who support them navigate the research administration process.
Training Programs
Sponsored Programs Academy for Continuing Education (SPACE)
The SPACE Research Administration Training Program offers comprehensive training and Digital Badges for microcredentials to ensure that members of the Rutgers research community have a solid understanding of the university's processes when it comes to administering research.
Animal Care
Animal Care is comprised of Research Core Services, Controlled Substances in Research and more. The team supports the research mission of Rutgers University in biomedical research areas.
Regulatory Affairs
Our Regulatory Affairs team offers a multitude of training and learning materials to promote research integrity including:
Post-Award
Tailored training courses are available through our Research Financial Services unit to provide a better understanding of the university's Financial Management System and the post-award grant life cycle.
Financial Compliance
Effort Compensation Certification & Reporting provide assurance to sponsors that remuneration charged to sponsored programs are justifiable, reasonable, and allocable to the respective sponsored projects in relation to the work performed, and that faculty and staff have met their commitments to sponsored projects including cost-sharing.
Research Relationships Essentials
The Research Relationships Essentials microcredential, in the form of a Digital Badge, is targeted to Rutgers staff who support faculty in the pursuit of research funding. Earn your microcredential after completion of a six-module course.
Office of Advanced Research Computing
Learn how to get the most from Amarel systems, tools, and processes. Students, faculty, and staff can improve their data management and scientific computation workflow.