This course covers the pitfalls of informatics research and discusses best practices and tools to overcome the challenges of working with and managing multidisciplinary teams. It also covers guidelines to promote diversity and inclusion in your lab and research.
This is the series of courses in Fred Hutch DaSL's "AI for Decision Makers" specialization on Coursera.
This course is designed to help researchers and investigators understand the key principles of data management from an ethics, privacy, security, usability and discoverability perspective.
The course covers basic information about why LaTeX can be useful, how to get started in Overleaf using LaTeX with a template, how to work with a team on Overleaf, and what to do when you encounter problems.
Learn about the new NIH data sharing policy, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy.
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