# THE XNAT IMAGING INFORMATICS PLATFORM

> **NIH NIH R01** · WASHINGTON UNIVERSITY · 2020 · $653,481

## Abstract

PROJECT SUMMARY
This proposal aims to continue the development of XNAT. XNAT is an imaging informatics platform designed
to facilitate common management and productivity tasks for imaging and associated data. We will develop the
next generation of XNAT technology to support the ongoing evolution of imaging research. Development will
focus on modernizing and expanding the current system. In Aim 1, we will implement new web application
infrastructure that includes a new archive file management system, a new event bus to manage cross-service
orchestration and a new Javascript library to simplify user interface development. We will also implement new
core services, including a Docker Container service, a dynamic scripting engine, and a global XNAT federation.
In Aim 2, we will implement two innovative new capabilities that build on the services developed in Aim 1. The
XNAT Publisher framework will streamline the process of data sharing by automating the creation and curation
of data releases following best practices for data publication and stewardship. The XNAT Machine Learning
framework will streamline the development and use of machine learning applications by integrating XNAT with
the TensorFlow machine learning environment and implementing provenance and other monitoring features to
help avoid the pitfalls that often plague machine learning efforts. For both Aim 1 and 2, all capabilities will be
developed and evaluated in the context of real world scientific programs that are actively using the XNAT
platform. In Aim 3, we will provide extensive support to the XNAT community, including training workshops,
online documentation, discussion forums, and . These activities will be targeted at both XNAT users and
developers.

## Key facts

- **NIH application ID:** 10002330
- **Project number:** 5R01EB009352-12
- **Recipient organization:** WASHINGTON UNIVERSITY
- **Principal Investigator:** Daniel Scott Marcus
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $653,481
- **Award type:** 5
- **Project period:** 2009-09-01 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10002330

## Citation

> US National Institutes of Health, RePORTER application 10002330, THE XNAT IMAGING INFORMATICS PLATFORM (5R01EB009352-12). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10002330. Licensed CC0.

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