# Clinical Research Design, Epidemiology and Biostatistics Core

> **NIH NIH U54** · MAINEHEALTH · 2021 · $923,201

## Abstract

PROJECT SUMMARY
Multidisciplinary approaches are being utilized by the investigators of the Northern New England Clinical and
Translational Research Network (NNE-CTR) to advance translational medicine for health problems endemic in
the aging, rural populations of northern New England, including cancer, cardiovascular disease and substance
abuse. These approaches are heavily dependent on bioinformatics, biomedical and clinical informatics, data
mining of electronic health records, large data management, high throughput genomic analyses, delivery of
integrated clinical, research and administrative data, and study design and statistical analysis support for
clinical and epidemiologic investigators. The goal of the Clinical Research Design, Epidemiology, and
Biostatistics Core (CRDEB) is to support and educate NNE-CTR Cores and investigators in the appropriate
use of these computationally-intensive approaches and technologies in their studies. Accordingly, the CRDEB
Core will provide the following types of support to participating investigators and their collaborators: 1) Support
for research navigation, study design and statistical analyses for epidemiologic, clinical and translational
studies will utilize a Clinical and Translational Research Catalyst model that has been successfully used to
foster T1 and T2 translational research at Maine Medical Center (MMC) to engage new clinical and basic
investigators in translational research. This Core will also support a Practice-based Research Catalyst who will
facilitate T3 and T4 research with clinicians in the Rural Health Research and Delivery Core; 2) Support for
genomic analyses, including data management and analysis of high-throughput genotyping and next
generation sequencing data, as well as data mining of publicly available genomics resources, will take
advantage of the extensive computing resources and bioinformatics specialists in the molecular Bioinformatics
Shared Resource at the University of Vermont (UVM); 3) Support for computer program, plug-in, and
applications development for biomedical informatics and clinical informatics analyses, mining electronic health
records, and querying public genomic and other research and administrative data sources will be provided.
The enablement of contemporary biomedical research increasingly requires the development of new
approaches for organizing, analyzing and retrieving data from a plethora of sources and transforming them into
knowledge that can support research endeavors. Biomedical informatics is the trans-disciplinary science that is
specifically focused on the development, deployment, and evaluation of such techniques. We will extend the
methods and tools for delivering integrated clinical, research and administrative data that have been developed
by the Biomedical Informatics Unit at UVM, as well as the Observational Health Data Sciences and Informatics
collaborative and its common data model, currently in use at MMC, to all NNE-CTR investigato...

## Key facts

- **NIH application ID:** 10205085
- **Project number:** 5U54GM115516-05
- **Recipient organization:** MAINEHEALTH
- **Principal Investigator:** Susan L SANTANGELO
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $923,201
- **Award type:** 5
- **Project period:** 2017-07-03 → 2022-08-04

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10205085

## Citation

> US National Institutes of Health, RePORTER application 10205085, Clinical Research Design, Epidemiology and Biostatistics Core (5U54GM115516-05). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10205085. Licensed CC0.

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