Nov
10
Posted by Miles Dietz-Castel on November 10th, 2020
Posted in: Blog
The GMR is excited to announce that two institutions have been awarded funding to host students as part of a new data internship award. The purpose of the Library Data Internship Award is to build capacity in the library and information science community to support data-driven research and health. A short description of the two funded projects follow.
University of Minnesota – Led by Jonathan Koffel
Through the Data Visualization with Excel Internship, the University of Minnesota Health Sciences Library will hire an intern to create a robust training experience as one step toward the goal of cultivating a diverse data science workforce, enhancing information delivery, and promoting data literacy. Through the experience, the Data Visualization Intern will learn and apply a broad set of skills related to data visualization with Excel for hands-on application via teaching, consulting, and learning object creation. One outcome that the Intern will be tasked with is designing, researching, and completing learning objects (e.g., handouts, online guides, and annotated visualization, workshops) to illustrate Excel-based data science skills.
University of Iowa – Led by Brian Westra
An intern from the University of Iowa School of Library and Information Science will be hired to assist with the development, implementation, and analysis of a needs assessment and education/awareness outreach project. This project will enhance awareness of university support, align services to address gaps and opportunities, and broaden the impact of UI research by improving data sharing practices to be more consistent with FAIR data principles. The project will directly address a gap in the Libraries understanding of the data sharing practices, infrastructure needs, and data literacy of researchers across campus. The assessment will enable the librarians to more efficiently target instruction, curation, and data preservation and access services, increasing the impact of research through more effective data stewardship and sharing.