Great ideas become great results through good study design and planning. Wright Center services and tools can help you design your study and make sure your data can be analyzed to answer your questions (biostatistics), determine if your study is feasible (informatics), connect with collaborators and community partners, make sure the legal requirements are satisfied, and even help with funding.


New to Research

Meet with the research navigator (see contact information to the right)
Discuss your idea with a faculty mentor

New to Research

Complete mandatory principal investigator training

Study Planning/Design

A biostatistician can help with study design and provide a statistical analysis plan

Request a consultation with a study design expert

Study Planning/Design

Is the clinical trial already being conducted? Check ClinicalTrials.gov

Study Feasibility

An informatics specialist can help with feasibility questions

Request a consultation with a study feasibility expert

Work with a community engagement expert on issues of access to diverse populations

Study Feasibility

Do you have access to the patient population your study needs, at VCU or beyond?

Check TriNetX, ACT, and I2B2 (links may require login credentials)

Use the Trial Innovation Network for multi-site studies

Also check TriNetX, ACT, and I2B2

Legal and Policies

Find out what the Food and Drug Administration (FDA) requires

Legal and Policies

What are VCU’s policies?

Familiarize yourself with the human subjects or animal research training and compliance requirements (links may require VCU login credentials)

Study Funding

Get help with grant writing

Study Funding

Apply for internal funding to get your study started

Get Unstuck

Come to the Wright Center Consulting Hours for one-on-one help – contact the research navigator for details

Cite & Submit: UL1TR002649

Publications supported by the Wright Center must cite the CTSA Grant number (UL1TR002649) and comply with the NIH Public Access Policy. We rely on these citations as a critical performance measure when reporting annual productivity to the NIH.