# User-ready tools and scalable workflows for INCLUDE datasets in the cloud: advancing brain imaging data management and analytics

> **NIH NIH U2C** · CHILDREN'S HOSP OF PHILADELPHIA · 2021 · $273,575

## Abstract

PROJECT SUMMARY
With rapidly growing medical datasets and data repositories, there is a critical need for technical infrastructures
to make data sharing and usability feasible. Cloud ecosystems provide computationally efficient resources for
large-scale data handling and analytics. While cloud-based platforms have been developed for molecular and
clinical data processing, there is no single end-to-end platform for processing biomedical imaging data.
Moreover, there is no standardized system to enable interoperable work between molecular, clinical, and
imaging data pipelines. We propose to (Aim 1) integrate existing open-source neuroimaging software into a
centralized, cloud-based platform for brain imaging data (Flywheel). This will provide scalable, automated, and
publicly accessible tools to process and analyze data from standard imaging modalities, and supply streamlined
pipelines for standardization and privacy-protection (de-identification) for submission to long-term repositories.
In addition, we will (Aim 2) establish data representation, ontology, and workflows to allow for interoperability
between currently incompatible molecular and imaging systems (CAVATICA and Flywheel). This will allow the
use of rich multi-modal datasets in scientific research on brain pathology and development. The present
proposal leverages collaboration between inter-disciplinary teams of software developers and biomedical
analysts and researchers, and their complementary expertise in computer science, cloud computing, and
neuroimaging and molecular research. Overall, this project will provide the infrastructure and methods to
support large-scale data hosting and management for the neuroscience and bioinformatics communities, which
will support scientific efforts including multi-institutional research and clinical trials.

## Key facts

- **NIH application ID:** 10406678
- **Project number:** 3U2CHL156291-02S1
- **Recipient organization:** CHILDREN'S HOSP OF PHILADELPHIA
- **Principal Investigator:** Robert J Carroll
- **Activity code:** U2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $273,575
- **Award type:** 3
- **Project period:** 2020-09-26 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10406678

## Citation

> US National Institutes of Health, RePORTER application 10406678, User-ready tools and scalable workflows for INCLUDE datasets in the cloud: advancing brain imaging data management and analytics (3U2CHL156291-02S1). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10406678. Licensed CC0.

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