# Data Management and Statistics Core

> **NIH NIH P50** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2020 · $294,592

## Abstract

PROJECT SUMMARY
The central hypothesis for the Center for Adolescent Rhythms, Reward, and Sleep (CARRS) is that adolescent
development acts on underlying sleep and circadian traits to modify homeostatic sleep drive, circadian phase,
and circadian alignment, which in turn impact cortico-limbic functions critical to substance use risk (e.g., reward
and cognitive control). We further hypothesize that specific manipulations of sleep and circadian rhythms during
adolescence will affect reward responsivity and cognitive control in either positive or negative directions. These
manipulations will provide experimental support our model, and proof of concept for novel clinical interventions
to reduce the risk of substance use and abuse. Core C: Data Management and Statistics will support the 5
projects in CARRS by managing data (e.g., developing protocols, forms, and databases and assuring data
quality and security) and performing statistical analyses (e.g., preliminary, primary, secondary, and exploratory
analyses). In this way, Core C will guarantee high-quality, transparent, and consistent standards for data
management and statistical analyses across projects and will maximize rigor and reproducibility within CARRS.
Core C will also develop and adapt analytic methods that take full advantage of the translational and high-
dimensional data captured across the 5 projects within CARRS. Areas of focus will include: use of supervised
learning (e.g., random forests) for prediction with high-dimensional data within humans and, separately, rodents;
methods for integrating findings across projects and species (based on data from Projects 1-5), and quantitative
“multi-omic” methods for integrating RNA-seq and mass spectrometry data. Finally, we will educate researchers
within CARRS and in the research community on existing and cutting-edge statistical methods relevant for our
research. Topics will include rigor and reproducibility, analysis of sleep and circadian data, analysis of RNA
sequencing and proteomic data, and the innovative statistical methods developed and applied within Core C.

## Key facts

- **NIH application ID:** 10022614
- **Project number:** 1P50DA046346-01A1
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** MEREDITH JOANNE LOTZ WALLACE
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $294,592
- **Award type:** 1
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10022614

## Citation

> US National Institutes of Health, RePORTER application 10022614, Data Management and Statistics Core (1P50DA046346-01A1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10022614. Licensed CC0.

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