|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.
|Data Literacy for the Busy Librarian||
This 2-week, 4 credit-hour, self-paced online class looks at foundational data management skills with an emphasis on key topics relating to Data Management Plans (DMPs), understanding standards and metadata in a biomedical context, identifying appropriate biomedical data repositories, understanding data sharing and data citation, and knowing and applying best practices in data visualization. Qualifies for MLA Data Services Specialization.
This is an online, asynchronous class.
|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.
|NIH Data Management and Sharing Requirements Webinar Series||
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.
|Research Data Management Training - On Demand||
4 free, 4-credit hour courses cover the five skill areas of the MLA Data Services Specialization (DSS) Basic Level. Explore topics such as open science and data science, data curation and documentation, data security, storage and preservation, and data sharing and publishing. These on-demand classes are offered in Moodle.
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