RCMI Coordinating Center Portal

RCMI Common Metrics for Program Evaluation

Note:  * = Not assess yearly
Number of Primary Common Metrics = 13
Number of Secondary Common Metrics = 6
†:  These metrics may or may out be included in the Primary Minimum Common Metrics Selected

The Primary Minimum Common Metrics Selected

Increase Scientific Productivity (n=5)

# /Type/Investigator Level/HD Grants Submitted

#/Type/Investigators/HD Grants Awarded

Peer Reviewed Pubs (RCMI cited) by investigator level/pilot

% Pilot Projects resulting external funding*

# Patent submission (Program level)

Increase Scientific Collaboration (n=3)

#/Type(?) External research collaborators (RCMI/Non-RCMI)

#/Type Academic-community partnerships

Community engaged research – Partnership

Professional Growth (n=3)

ECI: Career Advancement (e.g., Promotion/Tenure) Funded RCMI-affiliated faculty

URI: Mentoring


Expanded Research Resources (n=2)

Workshops/ Seminars / Trainings

Online training/ Webinars – web analytics – reach & engagement

(Include a global measure of the utility of the Core facilities).

The Secondary Minimum Common Metrics Selected

Increase Scientific Collaboration (n=2)

Research Dissemination

↑ Multi. Disc./ collaboration research

Professional Growth (n=3)

Grants Awarded /Type ($)

Pubs related to Pilot Project

Conference presentations

Expanded Research Resources (n=1)

# faculty hires Minority Health & Disparities Research

Profiles Research Networking Software

Profiles Research Networking Software is a research networking and expertise mining tool. It not only shows traditional directory information, but also illustrates how each person is connected to others in the broad research community

This searchable library of web-based electronic CV’s speeds the process of finding RCMI researchers with specific areas of expertise for collaboration and professional networking. Built-in network analysis and data visualization tools allow administrators to generate research portfolios of RCMI institutions, discover connections between parts of RCMI consortium, and understand what factors influence collaboration.


RCMI Research Resources Platform

The RCMI Research Resources Platform is a searchable database of core laboratory facilities at RCMI institutions. It supports a wide variety of core facilities that provide specialized services, equipment, and staff to the biomedical research community.

The Dataverse will be launching soon

Dataverse is an open-source platform designed for sharing and archiving research data based on the “FAIR Guiding Principles for scientific data management and stewardship” supported by the NIH Common Fund.

Developed at Harvard’s Institute for Quantitative Social Science (IQSS) and maintained by the community since 2006, the platform supports qualitative and quantitative data, documentation, and code, automatically registers data with an indexed global persistent DOI, and contains configurable workflows to manage permissions, access controls, and terms of use.

RCMI CC will be using Dataverse as a repository for data archiving and sharing, and to enable replication as well as ensure rigor and reproducibility for all analyses and papers derived from RCMI Awardees.