Research Data Management Strategy: Resources

Qualitative and mixed methods researchers have expressed some hesitation for these guidelines, which are not always clearly or equally applicable to qualitative research. Among these concerns include what counts as data (transcriptions, field notes, lab meeting notes), how to properly explain data sharing to participants, and how to minimize the risk for reidentification.

This webinar discusses concerns around data sharing for qualitative and mixed-methods research. Learn more about preparing your own data management and sharing plans in alignment with federal guidelines, professional ethical guidelines in your field, and your own ethical codes.

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 data in order to facilitate reuse and ongoing project work.

In the ever-evolving digital landscape, the management of research data, including data licensing and copyright, is of utmost importance.

By the end of the workshop, participants will have an understanding of the basic principles of copyright, how it works, and where it applies. Participants will be able to describe the benefits of open licensing and the basics of how Creative Commons licenses work, have a deeper understanding of how research data interacts with copyright and open licensing, and know where to find additional information and resources.