# Data Management and Analysis Core

> **NIH NIH P50** · EMORY UNIVERSITY · 2020 · $81,495

## Abstract

PROJECT SUMMARY 
The objective of the Emory ACE Data Management & Analysis Core is to create an optimal scientific and 
technical environment for creating growth charts of social engagement from densely-sampled longitudinal data 
sets co-registered across multiple domains in order to explore cycles of social contingency in autism and pivotal 
transitions in development, a key aim of Projects I-V as well as the whole program project. To accomplish this 
goal, the Core will provide shared resources, facilities and expertise for data collection, processing, analysis, 
storage and retrieval to serve the entire program project, as well as acting as a common repository for sharing 
data between individual projects and transmitting results to NDAR. The specific aims of the Core are: (1) Data 
Management: to meet the uniquely challenging data processing, management, storage and transmission needs 
of the entire program project; (2) Data Analysis: to provide a common methodological framework and shared 
computational infrastructure for carrying out state-of-the-art developmental profiling and statistical analysis of 
experimental measures collected across Projects I-V; (3) Training and Reliability: to provide common training in 
all of the novel data analysis techniques employed across projects, and to ensure that those techniques are 
deployed consistently and reliably across projects, using appropriate procedures for data management; and (4) 
Quality Control: to ensure that all data arising from the program project are of uniformly and exceptionally high 
quality, suitable for publication, submission to NDAR, and immediate use by other scientists. Key personnel will 
provide expertise in mathematical analysis, biostatistics, software engineering, and data processing needed to 
achieve the specific aims of each project. Shared facilities and infrastructure will be made available to support 
the data management and analysis needs of each project, including a central supercomputing facility, local 
workstations, and a suite of software tools customized for the data processing required in each project. Data 
management will be centralized on a common data server using the Marcus Data Exchange (DEX), a custom- 
designed RexDB® database commissioned from Prometheus Research LLC specifically to handle large-volume 
clinical, behavioral, and experimental data sets, and their transmission to NDAR (please see Resources & 
Environment, Sections 7.4.2 and 7.4.4).

## Key facts

- **NIH application ID:** 10005489
- **Project number:** 5P50MH100029-09
- **Recipient organization:** EMORY UNIVERSITY
- **Principal Investigator:** Gordon James Ramsay
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $81,495
- **Award type:** 5
- **Project period:** 2012-09-04 → 2022-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10005489

## Citation

> US National Institutes of Health, RePORTER application 10005489, Data Management and Analysis Core (5P50MH100029-09). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10005489. Licensed CC0.

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