Thank you for visiting the “eScience Portal for Librarians.” The “eScience Portal” is no longer being maintained by the University of Massachusetts. This regional resource has been adapted by the National Network of Libraries of Medicine, and is sustained by the network of regional medical libraries across the country. Please visit https://nnlm.gov/data for up-to-date data services and resources supported and vetted by the National Libraries of Medicine. We look forward to your continued involvement in the programming in the New England Region and beyond. If you have questions, please contact Mary.Piorun@umassmed.edu.

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.