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Research Services

The Office of Nursing Research & Innovation (ONR&I) aims to elevate nursing research by supporting investigators throughout the research project lifecycle, from project development to close-out.

Accessible Accordion

The ONR&I provides complimentary statistical consultations with leading experts in research design and statistical methods.

Consultation Principles

  • Focus: Our consultants specialize in research design and statistical methods and are not available for teaching or programming.
  • Preparation: Please come prepared with all necessary materials, such as research questions, drafts of designs, questions about design and methods, and a synopsis of available data.
  • PhD Students: Your PhD chair must attend the consultation. Currently,
  • Other Students: ONR statistical consultations are exclusively available for PhD students. DNP students and others needing statistical consultation are encouraged to connect with the University of Washington Statistical Consulting Service. This free service provides access to consultants with expertise in R and other analytical programs during the academic year.

Consultants

Dr. Pike has decades of experience advising researchers in the areas of basic statistics from a social science perspective. STATA statistical programming, structural equation models, latent class analysis, latent growth models, panel and pooled time-series designs, and multilevel mixed effects models.

Book with Ken

Dr. Ruderman is a Research Scientist in the Department of Medicine at the University of Washington, and she received her MPH and PhD in Epidemiology from UW. She has extensive experience working with large datasets, longitudinal follow-up, and patient-reported outcomes. Her research is focused on people with HIV, including concentrations on healthy aging, clinical outcomes, and substance use.

  • Statistical programming software expertise: Stata (primary), R (some experience)
  • Analytic expertise: Linear mixed models, Cox survival models, Item response theory, Poisson (relative risk) regression, other basic regression modeling, Validation studies

Book with Stephanie

Ms. Herren is a Biostatistics Consultation Lead with the Institute of Translational Health Sciences (ITHS). She has been with the University of Washington for 12 years with experience as a Cardiac Project Manager of the Resuscitation Outcomes Consortium, Project Director of the UW CTC, and a Biostatistician for ITHS. Prior to earning her MPH in Biostatistics, she was a Registered Nurse for 11 years with experience in ICU, CCU, MICU, and SICU. Before joining the University of Washington, Ms. Herren was a biostatistician for the department of Transplant Surgery at the University of Illinois. Her background in nursing and biostatistics is the foundation for her research career.

Book with Heather

Mock reviews are designed to help faculty and student researchers develop and critique their grant design. The mock reviews allow investigators to have their work reviewed informally before it is sent to the sponsor for an official review. During a modeling party, the investigator meets with three to five reviewers who are experienced with research design and analysis, the subject matter, the grant type and/or have served on funder review committees. The reviewers read a draft of the grant in advance and come prepared to discuss the strengths and weaknesses in a constructive way.

Reviewers typically give feedback on the fundability of the project, the clarity of the aims, whether the proposed research plan will fulfill the aim, and the scientific merit of the research plan. The PI may also have some specific questions that they pose to the reviewers in advance.

Click here to schedule a mock review or visit the SoN Intranet for additional information.

SoN pre- and post-award staff support faculty in the proposal development process and grant execution stage, which includes but is not limited to budget tracking, purchasing, reconciliation, and progress reports. Pre- and post-award staff work closely with Finance and Administration, the Office for Sponsored Programs, and Grants and Contract Accounting to assist faculty with grants.

RA Support

The School of Nursing’s Pre-award specialists are experts in the proposal development process and assist faculty in submitting grants through the University of Washington. Pre-award staff work with faculty to develop budgets, assemble sub-contracts, and guide the proposal through the UW submission process. Pre-award staff work with federal, state, tribal, and foundation grants, and submit a wide-array of proposals, from sub-contracts to data agreements to new proposals. Pre-award staff are instrumental in securing research funding for the School, and are engaged in, though not limited to, the following activities:

  • Initiating and submitting proposals in the the UW System to Administer Grants Electronically (SAGE)
  • Budget and budget justification development
  • Managing submission timelines and section components, including human subjects
  • Assembling sub-contracts
  • Collecting biosketches and other support documents
  • Just-in-time and other sponsor requirements
  • Working with other departs or UW offices to solve problems, when needed

Use our Proposal Intake Form to inform us of your intent to submit!

Post-award specialists begin their work when an investigator receives a Notice of Award and assists faculty through the project until the Final Report is submitted. Post-award specialists are experts in post-award fiscal compliance regulations, both university and federal, and help investigators track spending, purchase items, and submit progress reports. Post-award staff assist faculty in the following areas:

  • Creating budget numbers and advance budget numbers
  • Procurement
  • Tracking spending
  • Sub-award spending oversight
  • University and sponsor regulations
  • Progress and Final Reports

ONR&I has partnered with CSDE for many lab services previously provided by the ONR&I Lab. For questions about available services message ONRhelp@uw.edu or fill out the CSDE Lab Request Form and select “School of Nursing Faculty/Staff/Student”.