DiSC Education and Training
DiSC, along with campus partners, hosts a number of learning opportunities in a variety of formats. The core of our work consists of a series of multi-part lessons on topics ranging from GIS, to introductory research computing and network analysis. Additional information on those offerings may be found below. DiSC also remains available for virtual training and consultation in group or one-on-one settings upon request. If you have any sort of digital scholarship need, please reach out! We would be happy to tailor trainings to your needs as we are able. Please contact email@example.com to schedule a workshop or request additional information.
Throughout the semester, DiSC also offers a series of guest lectures and single-session workshops. Check back here, Library News Online, or our Newsletter for notifications.
- Introduction to programming notebooks. Monday, August 29, 11:00 AM - noon CT. Digital Commons, 210. Additional information and registration available here.
- Introduction to the Constellate text and data mining resources. Wednesdays, September 14- September 21, 2:30 - 3:30 PM CT. Additional information and registration available here.
- Meeting the new National Institutes of Health (NIH) requirements for data management and sharing. Additional information and registration forthcoming.
GIS Workshop Series
We will run a series of GIS themed workshops in the Fall of 2022. Additional details on each may be found below, or on the workshop series website. Please contact Stacy Curry-Johnson for additional information.
GIS: The Basics
Thursday, September 1, 2:15-3:30 p.m. CT. Stevenson Library 3211.
Geographic Information Systems (GIS) have become widely used in a variety of disciplines. Have you heard about GIS many times, but not sure what GIS is or how it is used? Are you unsure of how to get started? What are my software options? This workshop will start you down the path to use geospatial technologies in your research by guiding you through the foundational concepts of GIS and how to think spatially. You will learn what GIS is, how find geospatial data, software options, and general Q&A on how you might incorporate GIS and mapping into your research. I will also discuss resources available across campus to help you utilize GIS for your research. Note that this is an informational session.
GIS: Best Practices
Wednesday, September 7, 2:15-3:30 p.m. CT. Stevenson Library 3211. Virtual.
Learn the best practices to plan, start and complete a GIS project. Topics covered include how to acquire geospatial data, formatting data to use in GIS software, including multimedia into a geospatial project, and other nontraditional GIS datasets, and more.
Introduction to Esri's ArcPro
Wednesday, September 7, 2:15-4:00 p.m. CT. Virtual.
Participants will get an introduction on how to use ArcGIS Pro, a desktop GIS software. The material includes an introduction to creating and manipulating data in ArcGIS Pro, ESRI's latest desktop GIS technology. Both working with raster and vector data in Pro are included, as well as how to move maps and data to the web to ArcGIS Online.
Wednesday, September 14, 2:15-4:00 p.m. CT. Virtual
From webmaps, webapps, dashboards, to Storymaps. See how this mapping platform can work for your research.
Introduction to QGIS
Wednesday, September 28, 2:15-4:00 p.m. CT. Virtual
In this workshop, you will learn to use raster and vector data in this powerful (free to use) open-source GIS. Users will have a brief introduction to the QGIS interface and will learn basic GIS methods.
Network Analysis: An Introduction
Wednesdays 1:00-2:00 p.m. CT. September 21 -- October 19
This series of five sessions will introduce you to the basics of network analysis. You will learn to use Gephi to create a small-scale network from scratch and use appropriate analytical approaches to uncover the underlying structures in relatively more complex networks. No experience in network analysis is required to attend. If you have a research question in mind and would like to explore if you can potentially incorporate network analysis into your research, this course will be an ideal first step.
Please contact Shenmeng Xu (
) for additional information.
This course will be offered online.
These lessons allow learners to develop programming skills as part of a group of learners working through the curriculum together, or on their own and at their own pace. They are designed to get you started using Python in the Colab notebook platform and teach the basics of the Python language. A particular goal of the lessons is to make it possible for you to understand and use for your own purposes code that has been developed by others.
Beginner lessons will be offered during the fall semester on Thursdays from 1:00-2:00 PM Central Time, September 1 through October 6. The synchronous lessons will be offered over Zoom with advance registration required.
A four-session Introduction to pandas and Matplotlib will be available on Wednesdays from 1:00-2:00 PM Central Time, November 2 through 30 (excluding Thanksgiving week) in-person in the Central Library Poetry Room (612A) and virtually via Zoom. These lessons will introduce the key features of pandas with an emphasis on reusable code examples and typical ways to create visualizations from DataFrames. This is an intermediate level series that assumes you have a basic understanding of how Python operates and of basic Python objects like lists and dictionaries. Offered in-person and over Zoom with advance registration required.
For more information about all DiSC Python lessons including the schedule of sessions and registration details, visit the course website.
These lessons allow learners to develop programming skills as part of a group of learners working through the curriculum together, or on their own and at their own pace. The synchronous lessons will be offered over Zoom with advance registration required.
Six sessions of Beginner lessons will be offered during the fall semester on Thursdays from 1:00-2:00 PM Central Time, October 27 through December 8 (excluding Thanksgiving week). The lessons are designed to get you started using R quickly through the popular RStudio Cloud interface. They will introduce the fundamental R data structures and will teach the basics of data wrangling, calculating statistic quantities, and making simple plots.
For more information about all DiSC R lessons including the schedule of sessions and registration details, visit the course website.
Self-Paced Learning and On Demand Learning
DiSC has prepared a list of digital resources and tutorials on our Github page on the following topics:
- Understanding My Computer bootcamp (Windows and Mac)
- GitHub lessons
- Python lessons: beginner, intermediate web scraping, intermediate data analysis and viz
- R lessons
- Introduction to Linked Open Data (LOD)
- Getting started on AWS
Both media and scholarly outputs are shared in increasingly open, diverse ways. Indeed, this increasing production and consumption of digital media, necessitates an understanding of the cultural logics of information sharing ecologies, an understanding of how and why digital outputs are created, and our own ethical responsibilities in sharing those outputs. Just as information literacy is critically important to student success, digital literacies are critically important for life-long learners, engaged citizens, and critical consumers of open scholarship. For additional information on past series, please visit the Digital Literacies Workshop Website. For information on future programming, please contact firstname.lastname@example.org
The Vanderbilt Libraries also provides access to O’Reilly for Higher Education, a multimedia collection of instruction and reference materials focused on computer programming, web development, audio-video editing tools, and gaming and AR/VR.