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Learning Objectives
- Define replicability in the context of bioinformatics research
- Identify characteristics of replicable computational workflows
- Recognize common barriers to replicability
- Apply replicability best practices to the design of a project
Module Content
Complete the content below in order for better understanding and continuity of information.
Reading: The Scientific Method and Replicability
The Scientific Method and Replicability
Estimated time to complete: 5–15 minutes
Reflection: Why do we need Replicability?
Reflect on the following question(s) before moving on:
- Replicability is important for knowing the impacts of changes to data and or code on the results of a prior experiment or project.
- Is it even important to know and understand the semantic difference between reproducibility and replicability? Why or why not?
- If you fail to replicate the results of an experiment from another research group, how would you attempt to reconcile the reasons behind it?
Estimated time to complete: 10 minutes
Video: Failure to Replicate
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Captions and transcript available within the player.
Estimated time to complete: 15 minutes
Activity: Hunt for Reproducibility and Replication Studies
Activity: Hunt for Reproducibility and Replication Studies
Estimated time to complete: 20 minutes
Video: Negative and Null Results
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Captions and transcript available within the player.
Estimated time to complete: 15 minutes
Activity: Find a Journal
Spend some time looking for a journal that explicilty allows:
- Negative results, or
- Null results, or
- Both
Estimated time to complete: 5–10 minutes
Practice Quiz: What is Replicability
Click here to take the Practice Quiz
Estimated time to complete: 5–15 minutes
Next Steps
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