# Integrative Data Analytics Core - Core D

> **NIH NIH P30** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2024 · $151,039

## Abstract

Michigan Integrative Musculoskeletal Health Core Center – Core D
Project Summary
Diagnosis and management of musculoskeletal disorders is complex and best done with multidisciplinary teams
and by analyzing data from a variety of complex sources. Advances in high-throughput ‘-omics’ technologies
combined with large volumes of imaging and clinical data have created an unprecedented opportunity to better
understand musculoskeletal disorders, improve patient outcomes, and reveal hidden information from clinical
and pre-clinical data by applying integrative computational techniques. However, designing integrative models
and computational approaches is challenging and requires expertise in omics, imaging and data analysis. The
Integrative Data Analytics Core (Core D) of the Michigan Integrative Musculoskeletal Health Core Center
(MiMHC) will provide expertise on data analysis in an integrative platform and promote new opportunities to
MiMHC investigators by providing access to expertise in computational approaches. This core will be led by a
multidisciplinary team of experts in omics, imaging and machine learning methodologies. Core D will provide
expertise and scientific guidance in data analysis and help investigators plan well-powered randomized block
study designs, interpret results, and provide recommendations for future studies. Core leadership will advise
Center investigators on the best tools and methods for analyzing data and provide expertise in developing robust
and validated systems using statistical and machine learning techniques. Core services will also include
performing the data analytics task requested if Center investigators do not have the expertise. Thus, core
services and advice will span the entire project, from idea inception, to data collection and management
guidance, and to validated, integrative data analytics models and interpretation. This approach forms a unified
model for planning, executing, and interpreting integrative studies across diverse laboratories, thereby enabling
investigators to understand the data analytic models and the connection between their data and model outputs
instead of just employing a “black box” approach. Thus, this core will accelerate science and generate new
hypotheses by enabling individual investigators and broader teams to discover important parameters in the data
and how these parameters are associated with study outcomes. Innovation plans include performing integrative
analyses across omics, imaging, and clinical modalities using input data from different laboratories and species,
thereby creating a novel, unified atlas of musculoskeletal signatures that spans Center investigators. This core
will be impactful by developing new data analytics tools and designing new computer aided decision support
systems aimed at understanding mechanisms of musculoskeletal disorders.

## Key facts

- **NIH application ID:** 10903809
- **Project number:** 5P30AR069620-09
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** Stephen CJ Parker
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $151,039
- **Award type:** 5
- **Project period:** 2016-08-01 → 2026-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10903809

## Citation

> US National Institutes of Health, RePORTER application 10903809, Integrative Data Analytics Core - Core D (5P30AR069620-09). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10903809. Licensed CC0.

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