NNLM offers funding for projects that improve access to health information, increase engagement with research and data, expand professional knowledge, and promote awareness and use of NLM resources in local communities. Part of that commitment to access includes making materials accessible to those who use screen reader assistive technology.

This hands-on, 90-minute class will provide the basics of making PowerPoint and Word documents accessible to people who use screen readers.

Understand the big picture of health data standards and how they are used, including relevant National Library of Medicine (NLM) products and services, in this 1 hour, on-demand, online class. Expect to spend 1 hour learning through videos and exercises.   

The 14-week, 30 credit-hour self-paced online class reviews basic biology concepts and takes a deep dive into NCBI Molecular Biology Databases. This class is designed both for librarians who offer, or intend to offer, bioinformatics services; and also for librarians who use gene and protein information on a periodic or irregular basis to serve their patrons.  Successful participants are invited to join an Alumni Forum which includes discussion and bi-monthly learning opportunities. Expect to spend at least 30 hours working through this class. 

The Black Maternal Health Webinar Series from NNLM features presentations and discussions from expert guest speakers, and NNLM staff. The presentations will enable librarians and community members to learn more about the past, present and future of Black Maternal Health in America.

This 3 week, 4 credit-hour self-paced online class is designed for library staff who support, or want to support, nursing and allied health professionals with NLM resources. This class provides an introduction to the professions of nursing and allied health, and explores NLM databases used by health professionals such as PubMed, LactMed, MedlinePlus and DailyMed. The class concludes with learners developing their own plan on how to use this information in their work.  Expect to spend about 4 hours learning in this class. 

ClinicalTrials.gov is the openly available federal registry and results database of publicly and privately funded clinical studies conducted in the United States and around the world. This 90-minute class is eligible for Consumer Health Information Specialization continuing education credit awarded by the Medical Library Association.

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 creating FAIR data. 

The DMPTool 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 DMPTool profile, and exploring available templates and planning resources.

The DMPTool 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.

This free virtual forum on disaster planning and preparedness will feature expert speakers presenting on data tools and resources, disaster planning communication, and institutional preparedness with a focus on greater inclusiveness and community resilience. Disasters may include weather events, pandemic, violence (mass shooter, violent protests), accidents (train derailment, building collapse, etc.), earthquake, explosion or any other event that may be sudden, unexpected and poses dangers to life and property. The webinar series will take place between September 12 - 28, 2023.

The National Library of Medicine (NLM) provides millions of people access to health information via its portfolio of products and services. But some people may need to access NLM’s resources in special ways, to help support new and innovative projects. Application programming interfaces (APIs) can help you access NLM’s data more quickly and efficiently, especially when integrated into a program or script.

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.

This self-paced online class provides an introduction to environmental health and environmental justice and presents three environmental justice resources you can use to find data and statistics about environmental health disparities in your community.

This class will be delivered entirely online through the Moodle course management system. The class is broken up into 5 topics that are presented through a tutorial (SCORM), with narrated demonstrations and knowledge checks. All the topics are open and available for you to work through at your own pace.

As librarians and researchers alike grapple with new technologies and methodologies for collecting, analyzing, and disseminating data, they must also grapple with corresponding ethical issues. In order to assist librarians with these concerns, this mini-course aims to provide an intellectual grounding for the recognition, analysis, and resolution of ethical issues, including but not limited to ethical problems in data visualization, data sharing, and data collection.

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 health care? 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?

What is citizen science? How can I get involved? This 2 hour, on-demand, online class from NNLM and SciStarter.org introduces citizen science for librarians, staff, and community-based organization leaders and includes clear, specific instructions and case studies on how a small, midsize, or large library or organization can bring citizen science activities and programs to their community. This tutorial is available in English and Spanish through scistarter.org. 

This 9-week class covers the basics of programming in Python for data science projects in health sciences. It includes a general look at data science and algorithmic concepts as well as specific topics in coding, namely the understanding and tools needed to clean data, create data visualizations, and share reproducible results. Learners will be asked to perform these tasks for a final project, which focuses on a provided dataset relating to health research.

This 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.

Health Bytes with Region 3 monthly webinar series from the NNLM Region 3 features expert guest speakers presenting on topics of interest to all our users, from librarians to public health practitioners, educators, clinicians, and the public. Topics will be scheduled according to audience interest, seasonal applicability, and speaker availability. For more information, contact: NNLM Region 3, nnlmregion3@unthsc.edu.

Health misinformation is a widespread problem, with false or misleading information about both long standing health concerns like cancer and emergent situations like the COVID-19 pandemic spreading at a rapid pace. Sometimes questionable health information is obvious, but it can also be difficult to recognize and can potentially reach millions of people. 

In this 90 minute webinar you will learn the difference between data and statistics, key features and use of health statistics, steps to finding health statistics, and sources of health statistics at the local, state and national level. The importance and relevance of health statistics in various contexts will be discussed. You will have the opportunity to become familiar with the features and scope of several statistics resources through the use of examples.