Course Catalog

This one-hour online training is an introduction to the collection of NIH Library resources and services available to NIH staff. The NIH Library serves as the staff library for NIH. This training is designed to instruct attendees on the range of information support and how to navigate the Library’s website to access the information required to support their work. 

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

• Explain the different missions of the NIH Library and the National Library of Medicine (NLM) 

• Access the NIH Library online catalog, journals, databases, PubMed @ NIH, and other resources 

• Identify Library services including Training, Translations, Literature searching, Editing, Bibliometrics, Data management, Publication support, etc. 

• Find and download Endnote (free for NIH staff) to laptop or computer 

Attendees are not expected to have prior knowledge of NIH Library products/tools to be successful in this training.  

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

• Describe key concepts in statistical procedures

• Understand the steps involved in hypothesis testing 

• Define p-values and be familiar with their appropriate uses 

• Describe confidence intervals and their uses

• Understand differences in types of data and how to summarize them 

• Describe bias and confounding

This one-hour online training will cover an overview of patent search tools, with a focus on search and analysis options in a variety of patent databases: Espacenet, Google Patents, PATENTSCOPE, Derwent Innovations Index, and Lens.org. During this training, the instructor will review patent search concepts including patent families, patent classification systems, and kind codes. Chemical structure and genetic sequence search options will also be covered. 

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

This one hour and fifteen-minute online training will provide an overview of databases and author profile websites to help locate experts in a research field. During this training, the instructor will review how to use tools to locate authors related to a specific topic, find algorithmically generated author profiles, and how to find author-maintained profiles. The instructor will also share how to identify additional citation and publication metrics for authors using InCites, including international and industry collaborations, first and last author positions, number of publications in high-impact journals, and more. The training will also address how to identify potential conflicts of interest when locating potential reviewers for grants and contracts.  

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

• Locate top authors related to a topic 

• Find algorithmically generated author profiles 

• Find author-maintained profiles 

• Identify additional citation and publication metrics on authors 

• Describe potential conflicts of interest 

Attendees are not expected to have any prior knowledge of these resources to be successful in this training. 

In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering this two-hour online training to assist researchers in writing a manuscript. Participants will become familiar with statistical issues that can arise as well as recommendations to prevent them. Most of the examples will be related to clinical research; however, anyone can benefit from the tips shared. 

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

• Gain a better understanding of the structure of the statistical methods section in the manuscript 

• Relate the results section to the statistical methods section 

• Exercise caution in the interpretation of the analysis results 

Attendees are not expected to have any prior knowledge to be successful in this training. This class complements, How to Write a Research Paper Parts 1 & 2, as it specifically covers key points in writing the statistical portion of a manuscript – particularly for clinical research.  

In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering this two-part online training for non-statisticians interested in understanding the basic, intuitive thinking behind the two schools of statistical inference: frequentist (known as classical) and Bayesian. 

Part 1 is a  two-hour online training that will address the frequentist approach and will cover the concepts of hypothesis testing, confidence intervals, Type I and Type II errors, statistical power, and p-values. Technical details will be kept to an absolute minimum.    

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

• Understand how to use statistical concepts to test hypotheses 

• Interpret the results of statistical tests 

• Make informed decisions about the significance of findings while considering the potential for errors in the analysis 

Attendees are not expected to have any prior knowledge to be successful in this training. Although you may attend only one part of this series, attending both parts will give you a better sense of the contrast between these two statistical approaches. 

You must register separately for Part 2 of this class series.

This one and a half hour online training equips participants with powerful data wrangling techniques using R and the tidyverse ecosystem. The tidyverse is a cohesive ecosystem of R packages designed to make data science workflows more intuitive and efficient through consistent syntax and design principles. Designed for both beginners and those looking to refine their skills, this training addresses the challenges posed by messy datasets.  

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

• Diagnose and address common data quality issues in clinical datasets.
• Apply systematic approaches to clean and standardize text, dates, and numerical values.
• Transform messy data and handle missing values using tidyverse functions, including appropriate imputation strategies.
• Design reproducible, automated data-cleaning workflows with tidyverse tools for transformation and aggregation.

Requirements 

Attendees are expected to have a basic understanding of R and RStudio. To proceed, attendees should have done the following:

• Installed R and RStudio.
• Have a basic understanding of R and RStudio.
• Reviewed our R basics training on the NIH Data Services: On Demand Content YouTube Playlist, if you are new to R.

This one-hour online training will cover how to sign up and access complimentary SAS training resources available to NIH and HHS employees. The instructor will demonstrate how to enroll in recommended SAS 9.4 trainings. 

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

• Enroll in recommended SAS 9.4 trainings 

• Navigate complimentary tutorials, programming courses, and eLearning for SAS 

Attendees are not expected to have any prior knowledge of SAS to be successful in this training. 

This one and a half hour online training in the NIH Library Evidence Synthesis Review series provides an overview on how to use Covidence, a web-based tool, for your review. The training covers the basic features of Covidence, including set-up, importing and exporting records, screening, data collection, and risk of bias assessment. 

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

• Describe what Covidence is and how to request access 

• Setup Covidence prior to starting your review 

• Explain how to conduct title/abstract and full text screening, data collection, and risk of bias assessment 

• Understand how to pilot your methods with Covidence 

• Identify the process for exporting records 

Attendees are not expected to have prior knowledge of how to conduct a review.  It is recommended that those planning to undertake a review, should register for the Evidence Synthesis series that take a deeper dive into the required methods for each step in a review.   

This one-hour online training, provided by a presenter from SAS, will review general best coding practices for SAS 9.4 that, when processing large data, will speed up performance.   

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

• Identify best practices in using PROC SQL and DATA Step in working with large data 

• Discuss best practices for when the data is in external data sources 

Attendees are expected to have some working experience with SAS 9.4 or to have attended an introductory SAS class, such as SAS® Programming 1: Essentials.    

This one-hour online training in the NIH Library Evidence Synthesis Review series provides an overview of the reporting guidelines used for writing your review manuscript including how to structure the manuscript and select an appropriate journal for submission. 

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

• Understand the importance of using a guideline for writing the review 

• Identify reporting guidelines used for reviews 

• Explain the importance of following the PRISMA checklist  

• Describe the purpose of the PRISMA flow diagram 

• Name ways to identify a potential journal to submit your manuscript 

• List key items to include in your supplemental materials 

Attendees are not expected to have prior knowledge of how to conduct a review.  It is recommended that those planning to undertake a review, should register for the Evidence Synthesis series that take a deeper dive into the required methods for each step in a review.