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Course Catalog

Below are topic or subject areas taught by the NIH Library. Click the topic to see a list of upcoming classes or other related content. To view our full training catalog, visit the library training calendar. We are open to your feedback and suggestions related to our training program. Please suggest a class if you do not see it listed.

NIH Library classes are taught in-person in the NIH Library training rooms, Building 10, Clinical Center, near the South Entrance or virtually. In addition to classes, self-paced online tutorials are available through a variety of vendors and our library staff.

 

  • This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is a programming language and open source environment for statistical computing and graphics. The R class series is a comprehensive collection of training sessions offered by the NIH Library Data Services and Bioinformatics programs that is designed to teach non-programmers how to write modular code and to introduce best practices for using R for data analysis and data visualization. Each class uses both evidence-based best practices for programming and practical hands-on lessons.

    By the end of this class, students should be able to: list reasons for using R; describe the purpose of the RStudio Script, Console, Environment, and Plots panes; describe the various methods for finding help on R and RStudio; organize files and directories for a set of analyses as an R Project; define the following terms as they relate to R: object, assign, comment, call, function, and arguments; and assign values to objects in R.

    Students are encouraged to install R and RStudio before the class so that they can follow along with the instructor. Please bring your laptop with R and RStudio installed.

  • A scoping review is a preliminary assessment of research literature that aims to systematically map the literature, clarify concepts, and identify the evidence and knowledge gaps on a topic. This research method can be conducted as standalone review or used as an initial step before conducting a full systematic review. Participants will learn best practices, tips, and guidelines on how to conduct a scoping review. This introductory class will also include scoping review resources and an overview of NIH Library research support services.

    Training Category: Systematic Reviews Classes
  • Scopus is a comprehensive abstract and citation database that includes tens of millions of records from journals, books, and conference proceedings. It contains hundreds of thousands of books and peer-reviewed articles, and millions of conference papers. This introductory session will provide a hands-on tutorial providing participants with skills to search for publications, conduct author and affiliation searches, create alerts, view citation counts and export results to a bibliographic management software such as EndNote.

  • The BTRIS Limited Data Set application allows researchers to access data from across all active and terminated protocols conducted within the NIH intramural program. Access clinical research data from 1976 to the present across more than a half million subjects to pose hypotheses and generate new research ideas.

    Class Prerequisites:
    You must have an established BTRIS user account for access to identified data. These accounts are given to all Principal Investigators or with permission to their designees. If you do not have an account, please complete the BTRIS Access form.

    For additional information on these sessions, go to the BTRIS webpage.

    Training Category: BTRIS Classes
  • Explore the New Web of Science interface with a refreshed look, enhanced workflow tools, faster page loads and more. Web of Science is a database providing access to billions of cited references, dating back to 1900 in the areas of life sciences, social sciences, arts, and humanities. This session provides a tutorial in using Web of Science, developing and executing searches on topics and citations, and managing results. 

     

  • Conducting a systematic review can be time consuming and challenging. This class provides an overview of the different steps in the comprehensive process of conducting a systematic review. At the completion of the class, participants will be able to identify each step of the systematic review process and know where to access valuable resources.

  • Conducting a systematic review can be time consuming and challenging. This class provides an overview of the different steps in the comprehensive process of conducting a systematic review. At the completion of the class, participants will be able to identify each step of the systematic review process and know where to access valuable resources.

    Training Category: Data Services Classes
  • Conducting a systematic review can be time consuming and challenging. This class provides an overview of the different steps in the comprehensive process of conducting a systematic review. At the completion of the class, participants will be able to identify each step of the systematic review process and know where to access valuable resources.

    Training Category: Systematic Reviews Classes
  • Conducting a systematic review can be time consuming and challenging. This class provides an overview of the different steps in the comprehensive process of conducting a systematic review. At the completion of the class, participants will be able to identify each step of the systematic review process and know where to access valuable resources.

    Training Category: Writing and Editing Classes
  • UpToDate is an evidence-based clinical resource which includes collections of medical and patient education information, access to Lexi-Comp drug monographs, and a variety of medical calculators. It is the only clinical decision support resource associated with improved outcomes. Its primary purpose is to help physicians quickly locate information to answer their questions. This introductory session will demonstrate the major features of the database and will provide a hands-on tutorial on how to search by disease, symptom, lab abnormality, drug, or procedure. The class will also demonstrate how to access search history, create and view bookmarks, and claim credits for Continuing Professional Development (CME). Audience: Physicians, nurses, nurse practitioners, researchers, clinical fellows, post-docs, and trainees.

  • Web of Science is a database providing access to billions of cited references, dating back to 1900 in the areas of life sciences, social sciences, arts, and humanities. Reference materials include journals, books, reports, and conference papers. This introductory hands-on class provides a tutorial in using Web of Science, developing and executing searches on topics and citations, and managing results. Participants will also learn how to access citation information.

  • Researchers today face an almost overwhelming flood of scientific literature in various formats. How does one keep up? There are resources that can help filter and organize the information. This workshop will provide a close look at (1) a database of recommended biomedical research article (Faculty of 1000 (F1000); (2) citation tracking (Scopus and PLOS); (3) customized database alerts (NLM My NCBI); journal reading and table of content apps (BrowZine); and (4) social media tools (Twitter). Information focused on your interests will be readily available. Make keeping up a seamless part of your research workflow. Learning Objectives: identify resources to help find and filter scientific literature; learn how to use F1000, Scopus, PLOS, BrowZine, and Twitter for keeping up in your field of interest; and learn to use these resources as part of research flow.

  • This one-hour training will provide detailed information and demonstrations on how to manage data in Excel. By the end of this course, the participants will recognize how to filter data by text, numbers, and date; how to sort data alphabetically and by color; how to remove duplicates; how to split and combine columns; and how to create customs lists.

    This is an introductory class for those who need to quickly learn basic Excel data management features and for those who are interested in a refresher.

    Basic knowledge of Excel is required.

    Training Category: Data Services Classes
  • Labeling signal data is a very important step in creating AI-based signal processing solutions.  However, this step can be very time consuming and manual. In this beginner/intermediate one-hour session, the attendees will be introduced to signal labeling for use in AI applications and discuss how MATLAB can be used to speed up and simplify the process, from preprocessing to extracting information from signals. The session will cover different approaches for signal labeling, including using algorithms and automating with deep learning models. It will also discuss an iterative method of building deep learning models and reducing human effort in labeling. 

    Training Category: Data Services Classes
  • When it comes to data analysis and visualization, technical professionals who use Excel often encounter functional limitations. MATLAB supplements the capabilities of Excel by providing access to pre-built mathematical and analysis functions, visualization tools, and the ability to automate analysis workflows. Attendees will learn the main steps required for performing data analysis with MATLAB, including data access and pre-processing, modeling, and deployment. Attendees will gain an understanding of how to efficiently apply data analysis techniques using the MATLAB platform. This session is for beginners; no software installation required.

    Training Category: Data Services Classes
  • In this webinar, participants will learn how to tell a story with their data using notebook-style live scripts and how to integrate MATLAB with Python code. Attendees will also learn how to share code and take advantage of MATLAB community tools such as File Exchange and GitHub. Finally, the participants will find out how they can host MATLAB offerings at their High-Performance Computing Centers or a Science Gateway. This session is for beginners; no software installation required.

    Training Category: Data Services Classes
  • Learn about a wide range of capabilities for image processing and computer vision including machine and deep learning using deep convolutional neural networks (CNNs). Transitioning image models from pixel-based to feature-based allows us to extract information from images and video at a high level, to detect, classify, and track objects, co-register images, or understand a real-world scene. Using collections of features, we can train computers to recognize objects, with user-specified or automatically determined features. This is an introductory class, but familiarity with MATLAB or image processing is recommended.

     

    Training Category: Data Services Classes
  • MATLAB provides two-way integration with many programming languages such as Python, which allows for greater collaboration between investigators. This webinar will cover how to call MATLAB from Python and how to call Python libraries from MATLAB. Attendees will learn how to use MATLAB’s Python integration to improve the compatibility and usability of their code. This webinar will be helpful for participants who have collaborators using Python with MATLAB, or for attendees who want to integrate MATLAB’s capabilities in a Python program. This session is for beginners; no software installation required.

    Training Category: Data Services Classes
  • Individual authors are increasingly being asked to demonstrate the impact of their published research using various citation-based metrics like the H-Index. Although such metrics have significant limitations, when used properly they can assist in the evaluation of individual authors for promotion, tenure, and green card applications. In this class, participants will gain an understanding of how these metrics are calculated, why certain metrics like the Journal Impact Factor should not be used to evaluate an author’s work, and how to obtain appropriate citation metrics.

    Training Category: Bibliometrics Classes
  • The purpose of this class is to introduce the fundamentals of conducting a meta-analysis. The focus will be on randomized clinical trials; however, the presenter will also briefly discuss the application of meta-analyses in laboratory and observational (epidemiological) studies. 

    The audience should have an acquaintance with basic statistical concepts (including, but not limited to: dichotomous and continuous outcomes, odds ratios, standard deviation and error, weighted average, fixed and random effects and associated models, etc.). However, it will only be necessary to understand the principles and interpretation of these ideas, not the underlying mathematics and calculations to learn the principles presented. This class will not contain a “hands-on” portion or a set of exercises to be completed in a statistical software package during the training or afterwards.

    This class will be taught by the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES).