# Core-001

> **NIH NIH UL1** · ROCKEFELLER UNIVERSITY · 2020 · $884,937

## Abstract

The overall goal of the Rockefeller Center for Clinical and Translational Science (CCTS) is to provide facilities
and resources to accelerate translational science to improve human health. The Informatics Core helps
achieve this goal by providing an electronic infrastructure, and educating and advising investigators on the use
of bioinformatics methods and tools. Thus, its specific aims are: 1. To provide an optimal integrated Medical
Informatics platform to: a) support translational research protocol development, review, implementation, and
conduct, as well as management of subject and study data; b). ensure maximal inter-connectivity and adoption
of data standards for sharing of data according to Informatics Domain Task Force-supported ontologies with
other CTSA organizations, NIH Informatics programs, and health information exchanges; and c) provide
analytical solutions and training for KL2 Clinical Scholars, other trainees, and investigators on querying
Electronic Health Record data to test their hypotheses at the population level. d) develop an electronic portal
for research participants to view data and to participate in protocol priority setting and design. 2. To provide an
optimal Research Bioinformatics platform to: a) provide advice and consultations to investigators on
experimental design, the choice of technology, and the choice of bioinformatics tools to achieve the scientific
aims of their projects and how to share their data with the scientific community by depositing the results in
publicly available databases; b) develop generic web-based tools to support bioinformatics analyses at
Rockefeller and throughout the CTSA consortium and scientific community; c) create ontology-backed,
electronic deep phenotyping systems to assist investigators world-wide in collaborating on projects and
obtaining the most valuable assessments of genotype-phenotype correlations and gene-gene and geneenvironment
interactions; d) conduct educational programs to enhance Translational Workforce Development
in Research Bioinformatics; and e) advise investigators in extracting meaningful data from large public
genomic and related databases. To accomplish these, we will: provide a secure, integrated data management
system linking iRIS and other programs that is customized to benefit from Rockefeller’s focus on research and
education; adopt CDE data standards for data sharing, including layered data structures following NIH best
practices; insure data quality control; implement web-based applications integrating local tools with open
source tools on analyzing high throughput sequencing data; create ontology-backed phenotyping platforms to
facilitate genotypic correlations; assist investigators in using electronic methods to identify potential research
participants; create a novel research participant portal for two-way communication with participants; educate
trainees and investigators on experimental design, technologies and the choice and use of informatics ...

## Key facts

- **NIH application ID:** 10168969
- **Project number:** 5UL1TR001866-05
- **Recipient organization:** ROCKEFELLER UNIVERSITY
- **Principal Investigator:** Barry Coller
- **Activity code:** UL1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $884,937
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10168969

## Citation

> US National Institutes of Health, RePORTER application 10168969, Core-001 (5UL1TR001866-05). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10168969. Licensed CC0.

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