National Center for Data Services (NCDS) Short Course

The NCDS short course provides an opportunity to grow in special topics of data librarianship and services. The topic changes annually, and it is based on trending areas of importance to health information professionals.

The target audience can consist of those who have no experience with data services as well as experienced practitioners. The short course is typically offered in the spring.

Continuing Education

This class qualifies for Medical Library Association (MLA) Data Services Specialization (DSS) Level 1.

This class has been approved for Medical Library Association (MLA) continuing education credits.

Class Owner(s)

Class Instructor(s)

Contact the NNLM Training Office for more information.

Classes

Event Title Event Start Date Summary Continuing Education Credits CE Categories Is Online Registration

No classes.
Event Title Event Start Date Summary Continuing Education Credits CE Categories Is Online Registration
Navigating New Norms: Harnessing Generative AI for Library Services and Solutions Libraries are navigating new norms by leveraging generative artificial intelligence to enhance their services and adapt to changing user behaviors and needs. This is a short course of 4 sessions designed to equip librarians with the knowledge and skills needed to automate efforts in advancing analytics, creating content, and answering library users' questions. Register to embark on a journey exploring the nuts and bolts of generative AI, from its foundational concepts to practical applications in library settings. 6.00 MLA, DSS Level 1 On
Inclusion and Accessibility in the Data Age: A Short Course This short course is designed to advance and increase the use of inclusive and accessible practices by professionals in producing and making use of health data.

This short course is presented by the National Center for Data Services (NCDS) of the Network of the National Library of Medicine. 		6.00 DSS Level 2 On
Ethical Considerations of Data This mini-course aims to provide an intellectual grounding for the recognition, analysis, and resolution of ethical issues, including but not limited to ethical problems in data visualization, data sharing, and data collection. 8.00 DSS Level 1 On