What is a data management workshop?
Data management workshops are led by Research Data Service staff, and cover best practices on topics such as metadata and documentation, file naming conventions, backups, and data publication. Each workshop is normally 50 minutes in length. We also offer a longer section which covers all of these topics in 90 minutes. For specialized workshops, we collaborate with subject liaisons for the respective department.
How do I attend a data management workshop?
General workshops: everyone is welcome to attend our general workshops! We update this page at the beginning of each semester. See below for the most up to date workshops and information.
Specialized workshops: these are normally requested by a department and attended by their faculty, staff or students. Workshop attendance instructions will be shared internally. We don’t provide list of these workshops on our the website.
Can I request a special topic?
Yes, Research Data Service provides several specialized data management workshops. We are also happy to visit labs and other research units to provide specialized data management talks and workshops. We can also conduct focus groups to learn the needs of your group and develop the content around it.
Request a workshop (specialized workshop):
- Through out the semester, we offer general workshops on data management topics. The information about the date, time, and location of the workshops can be found below. Those workshops are also available for request by emailing us
General Workshop Descriptions
Introduction to Data Management (Date, time): Participants will learn the benefits of best practices for managing research data.
Goals: Identify elements of data management, realize its importance, develop organizational strategies, and create your own data documentation.
Data Documentation (Date, time): A hands on workshop that will give you experience using various types of documentation and strategies for writing useful documentation. Bring a dataset you’d like to work with if you have one.
Goals: Understand elements of good documentation, evaluate an example, and apply knowledge.
Data Sharing (Date, time): This workshop will cover the basic steps of research data sharing and publication.
Goals: Understand why researchers share their data, evaluate discipline relevant repositories, apply knowledge to depositing your own data.