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Training Program

NIH Library Training Program.

A Review of Epidemiology Concepts and Statistics

In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering several trainings that cover general concepts behind statistics and epidemiology. These trainings will help participants better understand and prepare data, interpret results and findings, design and prepare studies, and understand the results in published literature. 

Access Research Tools and Services through the CMS Virtual Library

This one-hour online training will provide an overview of the CMS Virtual Library, an online resource designed specifically to support the information needs of CMS staff. This training will discuss CMS Virtual Library services and information resources. If you are unable to attend this training and would like an individual or small group orientation on CMS Virtual Library resources and services, please contact [email protected].   

Advanced PubMed

This one-hour online training will cover some advanced features of using the PubMed interface. This training will demonstrate how to use special, customizable features of PubMed to improve their searches and save and manipulate search results.

By the end of this training, attendees will be able to: 

Animal Model and Model Organism Information Resources

This one-hour online training will cover techniques on locating biomedical research articles, patents, NIH-funded research projects, genetic information, and print and electronic books related to animal models and model organisms. This training will also discuss the differences between animal models, research organisms, and model organisms, and will review requirements and resources for the NIH Model Organism Sharing Policy.  

Applying Findable, Accessible, Interoperable, Reproducible (FAIR) Principles for Reproducible Research

This one-hour online training covers various aspects of sharing code using MATLAB community tools like File Exchange and GitHub. Well-documented methods and workflows enable reproducible research by helping scientists follow each other’s experimental logic and interpret results.

By the end of this training, attendees will be able to: 

Coding Macros in SAS

This one-hour online training, provided by a presenter from SAS, will demonstrate how using macros makes a code in SAS easier to read, easier to edit, less prone to errors, and often allows it to run more efficiently. Macros are ways to use code to substitute in a value. Examples of macro code will be made available to attendees for modification and later use. 

By the end of this training, attendees will be able to:   

Copyright and Plagiarism: What Authors Need to Know

This one-hour online training session will help authors navigate the legal and ethical issues surrounding copyright and plagiarism, identify and avoid potential copyright infringement issues, and ensure the integrity of their work as a component of their publishing process. This training also highlights emerging AI related considerations related to plagiarism and copyright.  

By the end of the training, attendees will be able to:  

Crafting Your Generative AI Usage Strategy: Lunch and Learn

This 45-minute online Lunch and Learn training will help attendees develop their own customized strategy for responsibly incorporating generative artificial intelligence (AI) tools, such as ChatGPT, into their workflows. 

By the end of this training, attendees will be able to: 

  • Assess appropriate use cases for generative AI tools within their specific research/work context 

Data Management and Sharing: Part 1 of 2

This one-hour and thirty minute online training is part one of an introductory two-part series for those who want to learn about research data management and sharing, or for those who are interested in a refresher. The series provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation.   

Data Management and Sharing: Part 2 of 2

This hour and half online training is part two of an introductory two-part series for those who want to learn about research data management and sharing, or for those who are interested in a refresher. The series provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation.  

Data Sharing and Discovery in Generalist Repositories: Resources and Real-World Examples

This one-hour online training offers an overview of the NIH-sponsored Generalist Repository Ecosystem Initiative (GREI) (Dataverse, Dryad, Figshare, Mendeley Data, Open Science Framework, Vivli, and Zenodo), and the role of participating in these repositories in the NIH data repository landscape for intramural researchers. The session will highlight how these repositories support compliance with the NIH Data Management and Sharing Policy.

By the end of this training, attendees will be able to:  

Developing and Disseminating Your Review Protocol

This one-hour online training in the NIH Library Evidence Synthesis Review series provides an overview of writing and publishing or registering your review protocol. This training will cover what a review protocol is, how to develop one, and how to use it for the conduct of your review.  

By the end of this training, attendees will be able to: 

  • Explain the importance of writing a protocol for your review 

Developing the Research Question and Conducting the Literature Search

This one-hour online training in the NIH Library Evidence Synthesis Review Series introduces techniques and frameworks to help build an answerable review question suitable for differing types of evidence synthesis reviews.  This training presents well known frameworks such as PICO for systematic reviews, and PCC for scoping reviews and introduces some lesser-known frameworks that may be helpful. The training also touches on the requirements and process for the evidence synthesis literature review.  

Exploring the Cochrane Library: Systematic Reviews, Clinical Trials, and More

This 75-minute online training will provide information about Cochrane Library, a collection of databases with high-quality systematic reviews, randomized controlled trials and clinical answers. The training will cover the key features of the search platform, the variety of resources and how to search them. 

By the end of this training, attendees will be able to:  

Foundations of CAS SciFinder

This one-hour and a half online training introduces CAS SciFinder, a powerful research tool for exploring chemical and biological information. Attendees will learn how to search for and analyze compounds, investigate reaction pathways, and connect chemical structures to relevant scientific literature and bioactivity data. The session will highlight SciFinder's integration with BioFinder, providing researchers with comprehensive insights to support discovery and development.

By the end of this training, attendees will be able to:

From Excel to MATLAB: Boost Your Data Analysis

This one hour and half online training discusses how MATLAB enhances data analysis and visualization for technical professionals who typically use Excel. It highlights MATLAB's advantages, such as access to pre-built mathematical and analysis functions, powerful visualization tools, and the capability to automate analysis workflows, addressing the functional limitations often encountered with Excel. 

By the end of this training, attendees will be able to: 

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