Instructor Guide

Data management basics: Examining your workflow and assessing risk

Goals:

  • Students will think through the stages of their research project, draft their project workflow.
  • Students will identify areas in the process where things can fall apart (risk, storage, versioning).
  • Students will break down data management into discrete tasks they can accomplish.

Outcomes:

  • Identify one strategy for how to keep data in their project safe.
  • Make a plan for a file name scheme.

Slides (updated 2018-08-20) Links to an external site.

Specific data management challenges

Goals

  • Students will learn how to document their work for themselves, collaborators, and the public.
  • Students will have a basic understanding of relevant intellectual property policies regarding data.
  • Students will identify potential human subjects considerations when sharing research data publicly.

Outcomes:

  • You will be equipped to be a better collaborator.
  • Identify collaboration tools.

Slides (updated 2018-08-20) Links to an external site.

Thinking long-term and preserving access to data in the future

Goals:

  • Students will understand what they need to consider if they want to make their data accessible in the future to themselves and to future researchers.

Outcomes:

  • Determine grant requirements for long-term storage.
  • Resource awareness: DRUM, repositories, journal policies for data retention
  • Plan for what you should and shouldn’t keep and think about what will happen to your stuff when you leave. Do you have control over the mediums where your stuff is stored?

Slides (updated 2018-08-20) Links to an external site.

Breakout discussions and workshops

Goals:

  • Deeper dive into managing specific types of data or research materials. Students will discuss challenges related to the types of data or research materials they are managing to get feedback and advice from experts and their peers.
  • Students will gather information and very introductory experience with technology for automating common research tasks to contribute to more reproducible research methods in the future.
  • Students will be made aware of resources and experts to consult later in their careers.