Research Data Management (RDM) best practices cover all phases of research, from designing a project to publishing and preservation. Taking some time in the early stages to set up data management workflows will save time throughout the rest of your project and assure that you have the most control over decisions about data storage, sharing and structure. This session will be ideal for researchers who are just beginning a new project, but is open to all. No prior knowledge of RDM is required. A sample research idea will be provided, although attendees are welcome to work through examples with their own projects in mind.
In this session, participants will:
- review common RDM practices throughout the research lifecycle
- reflect on how they practice research data management currently, and where they might consider incorporating new tools or procedures
- leave with a plan for setting up a new research project embedded with good RDM practices
