Training in data science tools for biomedical research
Data Science Foundations: Tools and Statistics for Modern Biomedical Research in the Cloud
This study is creating an online learning program to help students and trainees in pharmacology and biomedical fields learn how to explore, analyze, and visualize data effectively, using modern tools and techniques.
Quick facts
| Grant type | Training grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-11031455 on NIH RePORTER |
What this research studies
This research focuses on developing a cloud-based learning module that teaches best practices in data exploration, analysis, and visualization specifically for pharmacological research. It emphasizes creating reproducible workflows and understanding statistical principles relevant to large datasets. The program is designed for trainees in pharmacological sciences but is also accessible to biomedical graduate students and online learners, enhancing their ability to utilize contemporary software tools for data analysis. By employing platforms like JupyterLab Notebooks and GitHub, participants will gain hands-on experience in modern data science techniques.
Who could benefit from this research
Good fit: Ideal candidates for this research include biomedical graduate students and trainees in pharmacological sciences who are looking to improve their data science skills.
Not a fit: Patients who are not involved in biomedical education or research training may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could significantly enhance the skills of future biomedical researchers, leading to more effective and reproducible research outcomes.
How similar studies have performed: Other educational initiatives in data science have shown success in improving research methodologies, indicating that this approach is promising.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Kuhn, Cynthia M — Duke University
- Study coordinator: Kuhn, Cynthia M
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.