Region 7 Presents: Developing long-term partnerships: Programming for K-12 and college students

For more information or to schedule this course, please contact Network of the National Library of Medicine, Region 7 at nnlm-region7@umassmed.edu .

Join subject experts from Region 7 as they share their insights on resources, programs, methods and more on topics that are current and relevant for Network members.

This class will be an introduction to data librarianship for early career librarians or librarians considering data librarianship as a path of work. If you have any interest in learning about becoming a data librarian but do not know where to start, this class is an entry point into this field of work. Topics of discussion will include job responsibilities, early career development opportunities, AI, and coding.

Upon completion of this webinar, students will be able to obtain first-hand insight in this field of work, learn what data librarians are responsible for, learn where to begin when it comes to using AI and coding in data librarianship, and identify further learning opportunities for this career path.

Resource URL: https://www.nnlm.gov/training/class/developing-long-term-partnerships-programming-k-12-and-college-students

Learning Objectives 

• Identify responsibilities of data librarians
• Introducing further learning opportunities for those interested in data librarianship as a career option
• Consider the amount of coding and AI knowledge expected of data librarians
• Discuss in-demand skills for those interested in this field of work

Agenda

• Introduce panel members
• What made you choose data librarianship? Was this a planned career choice?
• What are your daily responsibilities?
• How much coding knowledge are data librarians expected to have?
• How has the emergence of AI affected how you work?
• Can you give an example of an unexpected challenge you have faced at work?
• What are one of your favorite aspects of working as a data librarian?
• Are there any in-demand skills for those looking to become data librarians themselves? Any resources you recommend for these skills?
• Are there any other notable emerging topics in the field?
• Sharing additional resources for those considering data librarianship.

MLA CE Credits: 1