Proper record keeping and data management are critical components of scientific rigor and responsibility. This Short Course focuses on what all scientists should know:
- Basic principles and best practices
- Responsibilities as an investigator, grantee, and author
- Ways to manage these responsibilities during collaborations
- How funding agencies and journals address these issues when there are challenges around data integrity
Panelists will also explain data and resource sharing as it contributes to open science and field-wide efforts to enhance data reproducibility.
Read the accompanying Short Course syllabus here. For more resources on scientific rigor, browse the Neuronline Featured Collection, Promoting Awareness and Knowledge to Enhance Scientific Rigor in Neuroscience.