# Extension of clinical data structured into the ImmPort model and cross-study data exploration and visualization user interface

> **NIH NIH UH2** · CINCINNATI CHILDRENS HOSP MED CTR · 2020 · $198,750

## Abstract

Project Summary/Abstract
Sharing of biomedical research data facilitates independent validation of findings, the design of future clinical
trials and the reuse of data to test new hypothesis. One platform to share data is the Immunology Database and
Analysis Portal (ImmPort), a public warehouse providing open access to clinical and mechanistic data from
currently 341 immunological and clinical studies. In addition to valuable high-throughput data elements, ImmPort
provides access to individual-level data from clinical studies. Many of these clinical studies in ImmPort have an
abundance of data associated with them that is not annotated and parsed into the structured ImmPort MySQL
database model but made available as separate files in various different formats. In this form the data are not
readily available for data mining or secondary analysis. We will prioritize the unstructured data from clinical
studies for integration into the structured MySQL ImmPort model to facilitate better access and reuse. We further
will harmonize the used vocabularies in the database for which a preferred terminology is not yet established but
which is of high interest for secondary analyses. Currently, the mining of available data across studies in ImmPort
is a challenge for users who have no experience in informatics and, therefore, rely on the keyword search on
ImmPort’s web page. To address this critical need, we will develop an interactive cross-study data exploration
and visualization user interface for data in the ImmPort model including the functionality to create cross-study
exports. The data newly structure into the ImmPort model as well as the user interface will be integrated into
ImmPort and its web page. The treatments of several diseases (e.g. allergies, organ transplantation) rely on the
induction of immune tolerance. In ImmPort serval studies focus on different diseases but with the underlying
topic of immune tolerance. We will perform a secondary analysis of the shared individual-level clinical and
mechanistic data of these studies towards the identification of potential universal drivers of developing clinical
immune tolerance. This analysis will be used to develop a step-by-step tutorial for the interactive user interface.

## Key facts

- **NIH application ID:** 10116065
- **Project number:** 7UH2AI145837-02
- **Recipient organization:** CINCINNATI CHILDRENS HOSP MED CTR
- **Principal Investigator:** Sandra Andorf
- **Activity code:** UH2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $198,750
- **Award type:** 7
- **Project period:** 2019-06-01 → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10116065

## Citation

> US National Institutes of Health, RePORTER application 10116065, Extension of clinical data structured into the ImmPort model and cross-study data exploration and visualization user interface (7UH2AI145837-02). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10116065. Licensed CC0.

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