Data Science and Statistics Core
- Institution
- University of California-Irvine, CA
- Principal investigator
- Colin Worby
- Funding
- $398K
- Duration
- 2023–2028
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Abstract
Abstract Data Sciences and Statistics Core The Data Sciences and Statistics Core (DSSC) will be a multi-site core that integrates experts in data management, biostatistics, epidemiology and pathogen genomics. First, the DSSC will serve as an inventory hub for all data associated with this program, including sample inventory, epidemiologic data, and microbial genomic sequence data. With complex epidemiologic data and terabytes of genomic sequence data from over 16,000 isolates and nearly 3,000 plate metagenomes, a detailed inventory is essential to ensure organized access. Second, the DSSC will be a data sharing hub across all Projects. The DSSC will be responsible for facilitating secure and frictionless data transfer between Projects, maintaining consistent nomenclature across data types, as well as detailed data dictionaries. This resource will be essential to enable synergistic collaboration between researchers across multiple institutions and projects, working with large, complex datasets. Third, the DSSC will serve as an innovation hub for integrating biostatistics traditionally used for epidemiologic studies with computational biology for genomic analysis. Researchers with expertise in statistical modeling, epidemiology and bioinformatics will work closely to develop novel methodology for the simultaneous analysis of complex epidemiological and genomic data. The DSSC will provide data science and biostatistical expertise across all projects. This will enhance the synergy among the projects by unifying data and statistical consultation. In convening an integrated core with expertise in biostatistics, computational biology, epidemiology, and genomics, we will form a unique and powerful platform for developing novel approaches and provide the clearest view of multidrug resistant organism (MDRO) carriage and transmission within nursing homes (NHs) to date.
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