Teaching RDM best practices

Teaching RDM best practices
Definition: 

The success of teaching best practices in research data management (RDM) relies on several factors. First, a team-teaching approach that is scalable to multiple disciplines and active-learning components allow for addressing a variety of data management needs. A benefit of data management training is that it enables liaison librarians to engage with faculty in their departments in a new way. To teach research data management best practices it is important to approach the course by asking the researcher the following questions:

  • How will you manage your data?
  • What type of Data or file formats do you produce in your work/research?
  • What standards will you use for data documentation and metadata format?
  • Where will you store your data?
  • Will your data be secure?
  • Do you have a backup strategy?
  • How will you release your data for access?
  • How will you share your data?
  • How will you archive the data for preservation and long-term access?

Teaching best practices in research data management should be flexible enough to be used with students at various educational (undergraduate and master’s/PhD) and experience levels. RDM best practices should be delivered through a variety of methods: video, online self-paced, and one on-one instruction. Providing multiple options allow faculty to choose various combinations of modules and delivery methods to be incorporated into a range of learning environments that meet their needs as well as those of their students.