John Crerar Foundation Data Services Fellow
Division/Department: University of Chicago Library
Reports to: Librarian for Computer Science, Mathematics, Physics and Statistics
The Graduate Student Fellow for Data Services for the Sciences will assist librarians to develop resources and programming related to data services. Programming developed will be informed by the results of a focus group study science librarians conducted in the last year about graduate and postdoctoral students’ data management needs. Programming will include instructional sessions that focus on data management concepts and tools. The fellow will also help librarians create resources in a variety of formats, including: demonstrations, workshops, tutorials, and web content. Resources created will be on topics such as data tools, data organization and data management. The fellow will also help plan promotion materials and outreach events related to data services and resources.
Fellows are expected to make a presentation to Library staff about their activities/project near the completion of their fellowship experience.
This appointment is for the 2022 Winter, Spring and Fall Quarters
- Assist librarians with teaching hands-on workshops on data related topics. Work with librarians to refine or develop existing and new instructional materials
- Assist librarian with other events and outreach efforts related to data services
- Create and update online resources
- Assist in analysis of focus group study
- Other duties as assigned
- Familiarity with some data tools in the sciences such as data repositories, laboratory notebooks, software for image creation and manipulation, software for creating graphs and charts or similar tools. Willingness to learn or share new data tools or practices.
- Interest in pedagogy and instruction
- Interest in event planning
- Excellent written and oral communication skills
Stipend: $3300 per academic quarter
Start Date: Winter 2022
To Apply: Interested candidates should send a resume and cover letter highlighting interest in the fellowship and relevant background experience to Jennifer Hart, Librarian for Computer Science, Mathematics, Physics and Statistics at email@example.com. The opportunity will remain open until filled.