# HuBMAP HIVE Tools Component Supplement

> **NIH NIH OT2** · HARVARD MEDICAL SCHOOL · 2020 · $998,455

## Abstract

PROJECT SUMMARY
We propose to contribute a suite of cloud-based data visualization, exploration, and analysis tools that will make
HuBMAP data FAIR and will enable broad re-use of this valuable resource within the community. We envision to
support both batch and interactive analysis tools for power users, as well as task-specific UI-based analysis tools
for end users without deep knowledge of computational approaches. Our goal is to also provide users with the
ability to interact with analysis provenance in through visual interfaces. These will be based on the approaches
that we developed for interaction with workflow-derived data provenance for reproducible biomedical research.
Our visualization tools will be interactive and designed for both data exploration and communication. Based on
our Vistories approach for reproducible visual analysis, we will create a bridge between these two distinct tasks.
This will also make it possible to share observations and discoveries with remote collaborators. Both analysis and
visualization tools will be embedded in a framework that will enable us to incorporate and deploy tools created by
members of the HIVE, HuBMAP, and the broader community. Whenever possible, we will enhance existing tools
and wrap them into a container-based, scalable, and cloud-agnostic deployment framework. To enable search and
exploration of the enormous data space that will be generated by HuBMAP, we propose to implement a set of
tools that enable systematic navigation and retrieval of omics and imaging data beyond text-based search. We will
focus on the use of metadata and ontologies to accomplish this through interfaces similar to our SATORI system
for ontology-guided visual exploration of biomedical data repositories. Finally, we will support collaboration
within HuBMAP and the HIVE through visual analysis tools that enable monitoring of the overall project progress
and data quality, including timelines for planned experiments, submitted data, and others.

## Key facts

- **NIH application ID:** 10148334
- **Project number:** 3OT2OD026677-01S3
- **Recipient organization:** HARVARD MEDICAL SCHOOL
- **Principal Investigator:** Nils Gehlenborg
- **Activity code:** OT2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $998,455
- **Award type:** 3
- **Project period:** 2018-09-21 → 2022-09-20

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10148334

## Citation

> US National Institutes of Health, RePORTER application 10148334, HuBMAP HIVE Tools Component Supplement (3OT2OD026677-01S3). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10148334. Licensed CC0.

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