Data Science Core

NIH RePORTER · NIH · P20 · $194,340 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY (DATA SCIENCE CORE) Advancing multidisciplinary biomedical research is significantly enhanced when there is support for rigorous experimental design, analysis, and management of the increasingly vast datasets generated. The UNH COBRE: Center of Integrated Biomedical and Bioengineering Research (CIBBR) substantially advanced the biomedical research infrastructure at UNH during Phase 1 by significant CIBBR investments in state-of-the- art instrumentation, augmented by additional institutional investments in high-throughput molecular diagnostic screening and genomic sequencing capacity at the Hubbard Center for Genome Studies (HCGS). These enhanced opportunities for multidisciplinary research collaborations and scientific training opportunities in biomedical and bioengineering research catalyzed by CIBBR are now aligned with institutional commitments in Phase 2 to conduct a cluster hire of early-career and senior-level researchers focused on the areas of quantitative/computational biology and multi-omics. During Phase 1, UNH invested significant computational resources in the Research Computing Center, and together with the HCGS established effective support for bioinformatic needs. However, important gaps persist in biostatistical support services (including experimental design and implementation) as well in the management and sharing of large multi-omics datasets. The objective for the Data Science Core (DSC) is to enable researchers to adopt multi-omics technologies to enhance opportunities for rigorous, multi-disciplinary research programs by: (1) providing a comprehensive support infrastructure for data analytics throughout the entire data life cycle, thereby addressing the increasing need for statistical analysis and management of data generated by multi-omics technologies; (2) promoting the FAIR principles of data science by implementing best practices for data management and deposition; (3) creating training opportunities needed to support best practices in Data Science; and (4) implementing a business plan to ensure the long-term sustainability of the DSC infrastructure at UNH. Establishing a DSC that combines a full range of biostatistical and bioinformatics support services, management of computational resources (including support for cloud computing), and provision of training workshops will have a major positive impact for CIBBR investigators, the UNH research community, and our IDeA-state collaborators. By supporting innovative data analytics approaches necessary for multidisciplinary, multi-omics research that enhance rigor and reproducibility, the CIBBR DSC will become an indispensable core facility offering a unified and critical set of support services to advance biomedical and bioengineering research capacity at UNH.

Key facts

NIH application ID
10908498
Project number
5P20GM113131-07
Recipient
UNIVERSITY OF NEW HAMPSHIRE
Principal Investigator
W Kelley THOMAS
Activity code
P20
Funding institute
NIH
Fiscal year
2024
Award amount
$194,340
Award type
5
Project period
2017-08-01 → 2028-06-30