Data Science Shared Resource
Overview
The Data Science Shared Resource provides investigators at the Vanderbilt-Ingram Cancer Center with expertise in biostatistics, bioinformatics, clinical informatics, and data science to support the design, conduct, and analysis of research studies. The resource partners with investigators throughout the research lifecycle, providing guidance in study design, data management, statistical analysis, computational modeling, and interpretation of complex datasets. The Data Science Shared Resource integrates expertise across clinical, molecular, imaging, and population-scale data while supporting the development and application of advanced analytical approaches, including machine learning and artificial intelligence methods. By combining quantitative expertise with robust informatics infrastructure, the resource provides a comprehensive environment for data-driven research.
Directors
Yu Shyr, PhD
Scientific Director
Travis Osterman, DO, MS
Scientific Co-Director
Services
Study Design, Statistics, and Bioinformatics
- Study design consultation
- Power analysis and sample size justification
- Feasibility assessments
- Biostatistical analysis
- Bioinformatics analysis and pipeline development
- Computational biology support
- Interpretation of data analysis results
Data Management and Research Informatics
- Clinical research informatics support
- Data acquisition and management
- Database design and development
- Data quality control and tracking
- EHR data extraction and patient identification
- Data sharing support
- Research software, visualization, and analytical tool development
Research Support and Training
- Manuscript, abstract and reporting support
- Results presentation support
- Biostatistics training workshops
- Bioinformatics training workshops
- Individual consultation on research design and data analysis methods
Contact Information
For more information about the Data Science Shared Resource services, please email Tatsuki Koyama or Qi Liu.
