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Title	Summary
Open Tools for Data Deidentification	The webinar will provide a brief introduction to data science topics and terminologies. Topics will include AI in healthcare, explaining what natural language processing is, and discussing HIPAA privacy requirements and defining PII. This first part will be brief and focus on providing a foundational understanding. The second and bulk of the class will focus on the NLM Scrubber and CliniDeID as examples of NLP models that can be used for clinical deidentification. The class will cover how to promote these tools at the librarians' institution.
Research Data Management Training - On Demand	New RDM On-Demand classes are in development and will be available Summer 2024. Contact nnlm-ncds@nyulangone.org with questions. Research Data Management On-Demand classes were active from July 7, 2022 through April 24, 2024.
Standardize Your Research Data with the NIH Common Data Element Repository	Do you want to standardize the data you collect so it can be easily shared with colleagues and other researchers? Have you been awarded a grant that requires the use of common data elements? Do you assist researchers with the data research management lifecycle? If any of these scenarios sound familiar, this course is for you!
Standardize Your Research Data with the NIH Common Data Element Repository – On Demand	This interactive, on-demand course is intended to introduce researchers and librarians to common data elements (CDEs) and how to use the NIH Common Data Element Repository.
The Research Data Services Landscape: How Do You Start And Where Does Your Library Fit In?	This course is designed as an entry point for people unfamiliar with the field of research data services in libraries. The goal is to introduce what data services librarians work on and to present information on how learners can grow in this area. This includes mentioning other trainings offered by NNLM that would further their studies in data services. Learners will be able to describe the type of work done in data services and the subtopics found in data services.