# Core C. Image Analysis and Data Science (IADS)

> **NIH NIH P30** · OHIO STATE UNIVERSITY · 2022 · $179,764

## Abstract

Abstract: CORE C, IMAGE ANALYSIS AND DATA SCIENCE (IADS)
The Ohio State University Vision Sciences Research Core Program (OSU-VSRCP) has established scientific
connections and collaborations among the expanding vision research communities across five academic units
(i.e., College of Medicine (COM), College of Optometry (COO), College of Engineering (COE), College of
Veterinary Medicine, College of Arts and Sciences) and newly engaged Nationwide Children’s Hospital (NCH).
Our community of vision scientists spans research from ophthalmology, optometry, neuroscience, engineering,
veterinary ophthalmology, psychology, and pediatrics. Synergy among this diverse community has been
established by monthly seminars called ViSOR (Vision Sciences OSU Research). Program Director (PD) Dr.
Moroi has commitment from Deans and Chairs to purchase equipment, support data science, assign scarce
space, increase collaborations among NEI-funded PIs, and pilot programs for preliminary data. The COM
subsidizes cost for access to the High-Performance Computing Cluster (HPCC) that is maintained by the Ohio
Supercomputer Center (OSC), which is relevant for Core C. The leadership and vision scientists are aligned
with the NEI PAR-20-051 ‘to enhance the capabilities of participating NEI-funded investigators and the
institution for conducting vision research.’ Three scientific Cores were determined from a survey of 61 vision
scientists. Each Core has a Director and Co-director, with at least one of the leaders holding an NEI R01. Core
C, Image Analysis and Data Science (IADS) Core was re-organized to provide services to aid in image
processing and analysis within four domains of data science (i.e., data strategy, data engineering, analysis &
models, and visualization & operationalization) and in a data commons architecture. Current research in
healthcare and life sciences is data intensive and requires application of computer science technologies to
analyze imaging data, diverse ‘-omics’ data, and data from electronic health records (EHR). The IADS Core
was established in response to investigators’ needs for image processing and analysis, modeling, and mining
data from EHR. There are two Core leaders: Director Dr. Nathan Doble, COO, and Co-director Dr. Srinivasan
Parthasarathy, Dept Computer Science and Engineering, COE. IADS Core goals are described in two Aims:
Aim 1. Image Processing and Data Science Services and Aim 2. Development of a Data Commons
Architecture. This Core will leverage access to established OSU resources, such as the Translational Data
and Analytics Institute (TDAI) and the Center for the Advancement of Team Science, Analytics Systems
Thinking in Health Services and Implementation Science Research (CATALYST). Computer resources will be
shared by Core C leaders with availability of OSUCOM’s access to the HPCC maintained by the OSC. The
expected outcome is increased collaboration for successful new proposals with the shared overarching vision
to prevent bli...

## Key facts

- **NIH application ID:** 10498216
- **Project number:** 1P30EY032857-01A1
- **Recipient organization:** OHIO STATE UNIVERSITY
- **Principal Investigator:** Nathan Doble
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $179,764
- **Award type:** 1
- **Project period:** 2022-09-30 → 2027-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10498216

## Citation

> US National Institutes of Health, RePORTER application 10498216, Core C. Image Analysis and Data Science (IADS) (1P30EY032857-01A1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10498216. Licensed CC0.

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