# Human Health Exposure Analysis Resource (HHEAR) Data Center

> **NIH NIH U2C** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2022 · $2,503,956

## Abstract

OVERALL PROJECT SUMMARY
To capture the full effects of environmental exposures on human health outcomes, the National Institute of
Environmental Health Sciences (NIEHS) is expanding the focus of the Children's Health Exposure Analysis
Resource (CHEAR) to encompass health across the lifecourse: the Human Health Exposure Analysis
Resource (HHEAR). The Icahn School of Medicine at Mount Sinai is applying to be the HHEAR Data Center,
providing intellectual and logistical support for the maintenance, analysis, interpretation, curation, and reuse of
data generated by HHEAR in support of extramural research projects. Since 2015, we at Mount Sinai, in
collaboration with data scientists at Rensselaer Polytechnic Institute, have served as the CHEAR Data Center,
supporting studies of children's environmental health research. We propose to build on our established
infrastructure, expertise, and experience as the CHEAR Data Center to provide a repository for all data and
support for statistical analysis and interpretation for investigators using the data generated within and outside
the network. The HHEAR Data Center will provide: 1) data repository and management resources; 2) data
science resources; 3) statistical consultation and analysis services; and 4) collaborative research support.
Through these efforts, we seek to ultimately maximize the potential use and impact of exposure data both
within and outside of HHEAR. Indeed, investigators who access resources provided by the HHEAR Data
Center will leverage the potential of big data to accelerate environmental health studies far beyond their
original funded goals, and potentially accomplish research that was previously thought infeasible or too costly.
The HHEAR Data Center is critical to advancing the scientific community's ability to examine the environment
on an exposome scale: the design of the Data Repository will facilitate manageable and efficient combining of
existing data sets; the availability of common vocabularies developed by the Data Science Resource will
contribute to maximizing the usable data from each study; and the Statistical Services and Analysis Resource
will ultimately apply their exposome-related analytic methods to address hypotheses on the environmental
health of pooled study populations. Further, the Data Center leadership comprises world leaders in
Environmental Epidemiology, Computer Science, Environmental Biostatistics, and Ontology, already working
together as the CHEAR Data Center, who are eager to continue and expand their efforts in service of the
HHEAR Network. Our existing Data Center will be expanded in both resources and infrastructure, including
through significant institutional support, to meet the requirements of the HHEAR Network. Thus, we at Mount
Sinai are uniquely positioned to provide a state-of-the-art Data Center for the environmental health research
community.

## Key facts

- **NIH application ID:** 10424415
- **Project number:** 5U2CES026555-05
- **Recipient organization:** ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- **Principal Investigator:** SUSAN L TEITELBAUM
- **Activity code:** U2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $2,503,956
- **Award type:** 5
- **Project period:** 2015-09-30 → 2024-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10424415

## Citation

> US National Institutes of Health, RePORTER application 10424415, Human Health Exposure Analysis Resource (HHEAR) Data Center (5U2CES026555-05). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10424415. Licensed CC0.

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