# Data Science Resource Core

> **NIH NIH U19** · UNIVERSITY OF WASHINGTON · 2022 · $295,781

## Abstract

Data Science Core Project Summary
The Data Science Core will be responsible for coordinating data management and analysis strategies across
the five projects. Based at the University of Washington, the Core will integrate data science and computational
neuroscience expertise to adapt or develop data analysis methods that can be applied in a coordinated way
across the different data sets and to simulation outputs. Along with characterizing neural representations, we
will particularly focus on new and developing methods that can extract information from small numbers of trials
during learning, and that elucidate the dynamical basis of the neural computation. This analysis will be used in
order to test and further develop hypotheses. The Core will establish standards and practices for data and
software generated by and used the projects that will facilitate collaboration and ultimately sharing of data,
algorithms and results. To facilitate efficient computation on large amounts of heterogenous data, the Data
Science Core will develop portable high-performance computing systems that can be deployed on institutional
resources, as well as using cloud computing platforms.

## Key facts

- **NIH application ID:** 10456069
- **Project number:** 5U19NS107609-05
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Adrienne L Fairhall
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $295,781
- **Award type:** 5
- **Project period:** 2018-09-15 → 2024-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10456069

## Citation

> US National Institutes of Health, RePORTER application 10456069, Data Science Resource Core (5U19NS107609-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10456069. Licensed CC0.

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