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A Bird's Eye View of Health Data Standards

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.   

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 creating FAIR data. 

Creating Data Management Plans with the DMPTool

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.

Data Management Sharing Policy (DMSP) Webinar Recordings On-demand

The webinar series introduces the basics of data management and the new requirements for data management and sharing that will be in place beginning in 2023. The introduction will then be followed by three webinars providing “practitioner perspectives” – i.e., data librarians sharing their opportunities, barriers, methods, and successes as they work toward improving data management practices at their institutions.

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 Overview

The NIH Data Management and Sharing Policy that will go into effect in January 2023 will require funded researchers to submit a plan outlining how scientific data from their research will be managed and shared. This session is intended for information professionals who are unfamiliar with this policy and will review the policy components and how you can prepare to address the policy at your institution.

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.

    NNLM Carpentries Workshop Series

    The NNLM Carpentries Workshop Series will offer several workshops covering different topics.

      The target audience is learners who have little to no prior computational experience, and the instructors put a priority on creating a friendly environment to empower learners and enable data-driven discovery. Even those with some experience will benefit, as the goal is to teach not only how to do analyses, but how to manage the process to make it as automated and reproducible as possible.


      Workshops have live captioning.

      Open Data Deidentification Tools

      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.

      Research Data Management Training - On Demand

      New RDM On-Demand classes are in development and will be available Summer 2024.

      Contact with questions. 

      Research Data Management On-Demand classes were active from July 7, 2022 through April 24, 2024.

      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!

      Standardize Your Research Data with the NIH Common Data Element Repository – On Demand

      This interactive, on-demand course is intended to introduce researchers and librarians to common data elements (CDEs) and how to use the NIH Common Data Element Repository. 

      Through demonstrations and hands-on exercises, this course will introduce you to common data elements (CDEs) and the NIH Common Data Element Repository (CDE-R). The course begins with an in-depth introduction to what CDEs are and examples of how researchers are already using them. Then, you’ll see how to search the repository and practice searching on your own.  

      The Research Data Services Landscape: How Do You Start And Where Does Your Library Fit In?

      This course is designed as an entry point for people unfamiliar with the field of research data services in libraries. The goal is to introduce what data services librarians work on and to present information on how learners can grow in this area. This includes mentioning other trainings offered by NNLM that would further their studies in data services. Learners will be able to describe the type of work done in data services and the subtopics found in data services.

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      Continuing Education