Research Data Management is essential for responsible research and should be introduced when starting a new project or joining a new lab. Managing data across a project and/ or a team allows for accurate communication about that project.
This session will review the important steps for onboarding new employees/trainees to a lab or new projects. The key takeaway from this session will be how to incorporate these steps within your individual project or lab environment.
When employees leave, they take their skills and institutional knowledge with them. It is important to record essential informative information related to projects and datasets to ensure the success of future users.
This session will review the important steps for offboarding employees/trainees from a lab or project. We will provide an overview of the various elements that should be addressed before closing out a project or someone leaves the institution.
Knowledge transfer refers to sharing or disseminating knowledge and providing inputs to problem-solving. When employees leave, they take their skills and institutional knowledge with them. Capturing their knowledge and research outputs is essential to the success of future users.
This session will present the knowledge transfer process and what to document at the point of employee offboarding. We will explore how individuals collect, organize, access, store and share project...
Many key granting organizations, for example, the NSF and NIH, require submitters to include a Data Management Plan (DMP) as part of their application. In short, these plans outline the best practices in data management that you will apply throughout the course of your grant. By creating a data management plan for your data at the beginning of the project, you save time and effort later on.
This session will provide an overview of the components of a DMP and get you started writing your own...