# Data Science Core

> **NIH NIH P50** · UNIVERSITY OF OREGON · 2020 · $359,911

## Abstract

7. PROJECT SUMMARY/ABSTRACT
 The overarching goal of the Data Science Core (DSC) is to advance multidisciplinary, multimethod
approaches to research design and methodology, data analysis, and data sharing in order to enhance
prevention research, training, and data sharing related to parenting in the context of opioid use on a national
scale. The Data Science Core (DSC) will serve as a key resource for the PWO Prevention Center by: (a)
supporting the integration and harmonization of data across the three Research Projects, data from the Pilot
and Training Core, and data from existing local and national data resources; (b) supporting data sharing with
internal and external investigators and the public; (c) providing research design and multivariate data analysis
support for incoming data, including novel approaches such as SMART trial designs and machine learning
approaches; and (d) supporting data science training for Early Career Scientists. We will build upon prior work
within our UO-OHSU collaborative investigative team and draw upon recent data science and data sharing
innovations within NIH that our investigators are members of (e.g., NIDA’s ABCD initiative, the Office of the
Director’s ECHO consortium) to integrate quantitative, neurocognitive, and intervention methodologies that
cross-cut our thematically-integrated Center. To iterate the synergy across the Center, the DSC will also
provide support and training to Center investigators and Early Career Scientists, interfacing with the
Administrative and Pilot & Training Core aims of seeding the next generation of researchers. Our efforts are
grounded in an exceptionally strong infrastructure provided by the Presidential Data Science Initiative at the
UO, which includes training activities in data science that will serve students and Center scientists. The DSC
will provide services to the Research Projects, Pilots, and external researchers in integrated ways that will
create efficiencies in effort and create new opportunities to facilitate improvements in parenting among
individuals and families affected by opioid use. Consistent with our data sharing approach and goals, all
software and data will be designed to allow for release and use by the broader scientific community.

## Key facts

- **NIH application ID:** 9990766
- **Project number:** 5P50DA048756-02
- **Recipient organization:** UNIVERSITY OF OREGON
- **Principal Investigator:** David S. DeGarmo
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $359,911
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9990766

## Citation

> US National Institutes of Health, RePORTER application 9990766, Data Science Core (5P50DA048756-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9990766. Licensed CC0.

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