This page contains descriptions of all NNLM classes, including previous classes.
To browse available offerings or register for a class, visit Available Classes. For class recordings, May 2021 - present, visit Class Recordings.
| Title | Summary |
|---|---|
| Common Data Elements: Standardizing Data Collection | Making data Findable, Accessible, Interoperable and Reusable (FAIR) starts well before data collection. Designing studies with common data elements (CDEs) can enable data sharing and reuse, and librarians and other information professionals can assist researchers in the use of CDEs. Whether you are a research data librarian or assist researchers in finding sources, this one-hour, self-paced course from the National Library of Medicine can help you understand how you can support the use of common data elements (CDEs) in cr |
| Creating Data Management Plans with DMP Tool | The DMP Tool is a free tool that walks users through creating comprehensive data management plans. This webinar will guide attendees through data management plan basics, creating a DMP Tool profile, and exploring available templates and planning resources. The DMP Tool is a great resource for building data management plans for grant applications, especially considering that starting in January 2023 the NIH will require funded researchers to submit a plan outlining how scientific data from their research will be managed and shared. |
| Data for Everyone: An Introduction to Spreadsheets | This class will be an introduction to learning about data. If you have any interest in learning about data but do not know where to start, this class is a great entry point to and foundation for classes currently offered in data management, data science, data services, and statistics. Topics will include a review of data terminologies, data types, and the basic concepts involved in working with a spreadsheet. Additionally, the class will encourage students to explore further NNLM learning opportunities for working with data. |
| Data Services On-Demand | Data Services On-Demand is a modular learning experience that works for you. Each module is a self-contained class that offers MLA CE hours as well as credit toward Data Services Specialization (DSS). The modules are: |
| Drug Terminologies and RxNorm | This 1 credit-hour on-demand class introduces you to the basic concepts of medical terminologies (including what they are and why they are important), followed by a deep dive into RxNorm, an NLM-authored medical terminology specializing in drug information. Designed for health sciences librarians and other health information specialists seeking to serve more active roles in their health IT team and better support researchers. Expect to spend 1 hour learning through videos and exercises. |
| Finding and Using Health Statistics | This online, self-paced course for librarians and students in health sciences describes different types of health statistics, how they are collected, and where they can be found. How many Americans are affected by cardiovascular disease each year? Are there geographic gaps in access to healthcare? How do the leading causes of death in the United States differ from those worldwide? Do mRNA vaccines, like the COVID-19, cause cardiovascular events? Does the use of oral contraceptives (birth control pills) increase the risk of breast cancer? |
| Fundamentals of Health Sciences Research Data Management | This online class meets the NLM/NIH strategic plan goal of accelerating discovery and advancing health through data driven research in order to increase health information access and use. The class is designed to provide information professionals, working in health sciences, with an introduction to research data management. The primary goal of this course is to improve your knowledge and skills in research data management and enable you to add or enhance research data management training and services at your institution. |
| National Center for Data Services (NCDS) Short Course | The NCDS short course provides an opportunity to grow in special topics of data librarianship and services. The topic changes annually, and it is based on trending areas of importance to health information professionals. The target audience can consist of those who have no experience with data services as well as experienced practitioners. The short course is typically offered in the spring. |
| NIH Data Management and Sharing Policy Workshop | This immersion training provides an extensive look at the upcoming NIH Data Management and Sharing Plan Requirements (effective January 25, 2023). This workshop is intended for those without much experience working in research data management and will provide an overview of the NIH policy, research data management basics, and related resources. |
| NIH Data Management and Sharing Policy Workshop On-Demand | This on-demand workshop is intended for those without much experience working in research data management and will provide an overview of the NIH policy, research data management basics, and related resources. Here you can watch 4 recorded videos covering the following topics: |
| Open Tools for Data De-identification | 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. |
| 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! |