online tool which helps researchers and data managers assess how much they know about the requirements for making datasets findable, accessible, interoperable, and reusable (FAIR) before uploading them into a data repository.
There are videos and case studies associated with the book.
Focused on both primary and secondary data and packed with checklists and templates, it contains everything readers need to know for managing all types of data before, during and after the research process.
Gives good examples of what to write in a DMP. Also gives examples of bad or incomplete answers in a DMP. Also gives a rubric of how a DMP is evaluated.
This course will provide you with training on the research data management (RDM) topics listed below in a biomedical context. The material presented began as an NIH-funded research study to assess material for teaching RDM to librarians. It is designed to prepare you to understand and subsequently teach RDM at your own institution, and offers strategies for identifying opportunities to teach RDM in your own environment.