# Data Management and Analysis Core

> **NIH NIH P50** · DUKE UNIVERSITY · 2024 · $346,265

## Abstract

ABSTRACT – Data Management and Analysis Core
The overall goal of the Duke Autism Center of Excellence (ACE) is to use a translational digital health and
computational approach to address the critical need for more effective autism screening tools, objective outcome
measures, and brain-based biomarkers that can be used in clinical trials with young autistic children. The Data
Management and Analysis Core (DMAC) will support coordination of high-quality data collection, management,
and analysis across the Duke ACE Projects and Cores. These Projects and Cores aim to apply shared, cutting-
edge computational research methods to develop effective digital health tools for early autism detection and
outcome monitoring and discover novel brain-based autism biomarkers. DMAC will play a key role in the Center’s
ability to achieve its goals by overseeing consistent application of scientific standards and methodological rigor.
DMAC will ensure clear, replicable acquisition protocols, post-processing analytic approaches, and data
management and storage across a wide range of measurement domains, including electroencephalography,
computer vision analytic measures, neurocognitive ability, language/social communication, adaptive behaviors,
patterns of caregiver-child interaction, and diagnostic assessments. DMAC will employ well-justified data
acquisition standards and innovative analytics within a secure informatics infrastructure designed to facilitate
collaboration among the synergistic ACE Projects and Cores. The primary aims of DMAC are to (1) oversee the
design and implementation of experimental protocols for acquisition of all study-related measures; (2) provide
data acquisition and management support across all Projects and Cores; and (3) provide support and assistance
with analyses of Center Projects, and in collaboration with investigators, conduct statistical analyses to address
the specific aims of Projects and Cores. DMAC also will provide timely submissions of data to the National
Database for Autism Research. This Core will also provide regular reports to the Center leadership, Executive
Committee, External Advisory Committee, and individual investigators related to participant recruitment and
retention, timelines, deliverables, protocol deviations, quality control indicators, scientific data, and outreach and
dissemination activities. By providing these essential data management and analysis functions for all Projects
and Cores, DMAC will ensure that the Duke ACE reaches its goals.

## Key facts

- **NIH application ID:** 10909159
- **Project number:** 5P50HD093074-08
- **Recipient organization:** DUKE UNIVERSITY
- **Principal Investigator:** SCOTT N COMPTON
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $346,265
- **Award type:** 5
- **Project period:** 2017-09-07 → 2027-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10909159

## Citation

> US National Institutes of Health, RePORTER application 10909159, Data Management and Analysis Core (5P50HD093074-08). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10909159. Licensed CC0.

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