# Neuroinformatics Core

> **NIH NIH P20** · KANSAS STATE UNIVERSITY · 2021 · $207,485

## Abstract

PROJECT SUMMARY
A Neuroinformatics (NI) core will be established at Kansas State University (KSU) to support the primary
projects, programs, and cores across C-NAP. The NI core will provide secure, fast, and efficient access for
data sharing, analytics, computational modeling, and high-performance computing (HPC). This core is
particularly important for supporting the management, analysis, and modeling of large data sets collected in
neuroscience studies such as neuroimaging (fMRI, EEG, diffusion tensor imaging), eye tracking, driving
simulator behavior, and other quantitative behavioral measurements that are often conducted in real-time. NI
core access will be available to all primary and affiliated members of C-NAP. The NI core will be comprised of
web servers, and dual data servers (initially each specified at ~100TB raw capacity) to provide redundancy and
scalability, with plans to purchase additional storage servers (or upgrade the initial ones) each following year to
an expected 1PB aggregate total as C-NAP needs grow. These servers will be linked with high-speed
(minimum 10GbE) networks to the KSU and WSU campuses and at 40GbE to the Beocat cluster, one of the
largest supercomputing clusters in the state of Kansas. The NI core will be used for longer-term archiving and
data sharing, to meet NSF/NIH requirements, with access by authenticated users through the Own Cloud (or
equivalent) storage system. This will promote the development and continuation of collaborative research
activities by providing a secure space for data storage and access by groups of users. The core will be directed
by Dr. Daniel Andresen, who is the Director of the KSU Institute for Computational Research in Engineering
and Science, an expert in the area of high performance computing and an Extreme Science and Engineering
Discovery Environment (XSEDE) Level 3 Service Provider. Technical support will be provided by a full-time
data technician and graduate student. The overarching goal of the NI core is to promote the ability of C-NAP
researchers to compete for extramural funding by incorporating technologies that are needed to answer the
most challenging questions facing modern neuroscience researchers.

## Key facts

- **NIH application ID:** 10197942
- **Project number:** 5P20GM113109-05
- **Recipient organization:** KANSAS STATE UNIVERSITY
- **Principal Investigator:** Daniel Andresen
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $207,485
- **Award type:** 5
- **Project period:** 2017-07-15 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10197942

## Citation

> US National Institutes of Health, RePORTER application 10197942, Neuroinformatics Core (5P20GM113109-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10197942. Licensed CC0.

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