Data Management for Research : View Workshops and Training

This menu lists our most commonly requested and delivered workshops. Any of these workshops can be customized to your discipline and/or course assignment.

Please note that workshops requiring extensive customization (e.g. use of specific datasets, creation of new learning objects) should be requested as early as possible, and no later than 2 weeks before the date of the session, to ensure the best outcome.

Thumbnails in the boxes indicate the availability of prerecorded versions or related materials. Please feel free to use and share these resources!

To request a workshop, please email Jen Ferguson. Have an idea for a workshop not listed here? Let us know!

Python and Text Analysis for Absolute Beginners

In this hands-on session, attendees will learn some basic Python while working in Jupyter Notebooks, an interactive web tool for running and writing about code. Next, we'll use Python and Jupyter to run a simple text analysis on a custom dataset built Constellate, a text mining platform for building and analyzing textual datasets from sources such as JSTOR, Portico, and Chronicling America. We will close by discussing opportunities to further expand attendees' coding and text analysis skills after the session. No prior experience with Python, JSTOR, or Jupyter is necessary, and no programming skills are needed or assumed for this session.

• Length: 120 minutes
• Format: Synchronous online presentation with significant hands-on components
• Previous sessions include: Open workshops utilizing Constellate 
• Lead time required: 1 month prior to the session, subject to staff availability

How can I organize and manage my digital stuff?

Getting your digital house in order is like writing a love letter to your future self. We’ll share a few quick file organization, naming, and documentation tips that can help you – and your collaborators – remember what you did and find your stuff 6 months from now.

• Length: 20 minutes
• Format: Synchronous online presentation or recorded video
• Previous sessions include: Open workshop. Recorded video
• Lead time required: 1 week prior to the session (subject to availability) for the presentation option; none for the recorded video.

 

What's a data management plan?

If you’ll be working on a grant proposal, chances are you’ll have to write a data management plan (DMP). This session gives insight into what funders are looking for in DMPs, and walks (well, sprints) through the typical components of a DMP, including some examples from successfully funded proposals.

• Length: 20 minutes
• Format: Synchronous online presentation or recorded video
• Previous sessions include: Chemistry graduate students, Marine Science students, GWISE. Recorded video.
• Lead time required: 1 week prior to the session (subject to availability) for the presentation option; none for the recorded video.

 

Data management plans workshop This session will begin with an overview of the components of typical data management plans (DMPs).  Then you'll get the opportunity to evaluate some sample DMPs, spurred on by a little friendly competition.   Length: 75 minutes Format: Synchronous online presentation plus hands-on components Previous sessions include: Open workshop, Biology graduate students Lead time: 1 week, subject to availability

 

What are PIDs, and why do they matter?

Persistent identifiers, or PIDs, are unique codes used to unambiguously identify people, places, and things. You should care about them because when you use PIDs, you can get credit for your hard-fought research outputs from papers to data and more. In this session, we'll give a quick overview of some of the more common PIDs in academia like ORCIDs, DOIs, RORs and RAIDs.

• Length: 20 minutes
• Format: Synchronous online presentation or recorded video
• Previous sessions include: Open workshop. Recorded video
• Lead time required: 1 week prior to the session (subject to availability) for the presentation option; none for the recorded video.