BMSC 610 Data Rigor & Reproducibility

Credits: 1
This course provides students with knowledge about the integral components of and practices that impact scientific rigor and reproducibility. Through class discussions, exercises, and reading students will learn to understand, identify, and apply methods and practices that contribute to rigor and reproducibility, as well recognize digital tools and OHSU resources for reproducible research. This class is organized in 8 modules:

Introduction and Lack of Transparency,
Blinding and Randomization,
Biological and Technical Replicates,
Sample Size, Outliers, and Exclusion Criteria,
Research Data Management,
Reproducibility Tools,
Publishing Data,
OHSU Resources for Reproducible Research.

Graded: Pass/No pass
May be taken only once for credit