Research reproducibility can be a challenge as project artifacts (i.e., methods, data sources, code, etc) may be created in different software and owned by different collaborators. A carefully planned workflow, especially one that is open, can help increase the ease of reproducing and replicating prior research, and better collaboration and file management across the research life-cycle.
- Define and understand the value of an open workflow
- Distinguish core concepts, such as reproducibility and replicability
- Understand the overall setup of reproducible research (including best practices for organizing research materials and data)
- Identify how OSF can help support an open workflow