NIH Library training classes are now available for registration. Classes are offered online, except where noted. In-person classes are held in the NIH Library Training Room, located in the Library in Building 10, Clinical Center.
January
Jan 6 Introduction to Scopus
Jan 7 Copyright and Plagiarism: What Authors Need to Know
Jan 8 Introduction to Embase
Jan 9 NIH Library Resources for NIH Staff
Jan 13 The Basics of PowerPoint Accessibility: Part 1 of 2
Jan 14 Ways to Combine SAS Data Sets
Jan 15 Exploring the Cochrane Library: Systematic Reviews, Clinical Trials, and More
Jan 16 Signals and Time Series Datasets Using MATLAB
Jan 20 Animal Model and Model Organism Information Resources
Jan 21 Data Sharing and Discovery in Generalist Repositories
Jan 22 Introduction to EndNote Desktop
Jan 27 PowerPoint Accessibility Checker: Part 2 of 2
Jan 29 Data Wrangling in Excel
February
Feb 3 Introduction to the Systematic Review Process
Feb 9 Resources for Finding and Sharing Research Data
Feb 9 Principles of Effective Data Visualization
Feb 10 Data Management and Sharing, Part 1 of 2
Feb 11 Data Management and Sharing: Part 2 of 2
Feb 12 How to Conduct a Scoping Review
Feb 13 Introduction to PubMed
Feb 17 NVivo: Set Up for Success: Part 1 of 2
Feb 17 How to Conduct a Rapid Review
Feb 18 NVivo: Making Your Data Come to Life: Part 2 of 2
Feb 19 How to Conduct an Umbrella Review
Feb 20 AI Literacy: Navigating the World of Artificial Intelligence
Feb 23 Taming Messy Data: Practical R Wrangling with the Tidyverse
Feb 24 Foundations of CAS SciFinder
Feb 24 SciFinder and BioFinder: Advanced Strategies for Researchers
Feb 27 Best Practices for Prompt Generation in AI Chatbots
Individuals who need reasonable accommodations to participate should contact the NIH Interpreting Office directly at [email protected], or the NIH Library Information Desk at 301-496-1080. Requests should be made at least five business days in advance to ensure availability.
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The NIH Library is part of the Office of Research Services (ORS) in the Office of the Director (OD) and serves the information needs of staff at NIH and select HHS agencies.
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