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Jan
14
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We all hope that by the end of the summer 2021 the COVID-19 pandemic will mainly be behind us, and the large bandwidth that the pandemic has taken up over the past year can be used for pressing needs that may have taken a back seat. One of those needs is disaster planning. While there… Read More »
Posted in: Continuing Education, Emergency Preparedness and Response
Jan
11
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Consumer Health Collection Management is a 4 credit, on demand course taught in Moodle. This course reviews collection management principles and resources for health-related collections in public libraries. Watch a recorded presentation and complete 2 assignments to evaluate your own library’s health collection, and consider how you can improve your health related materials to better… Read More »
Posted in: Consumer Health, Continuing Education
Dec
17
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Have you ever considered earning your CHIS or taking the leap from Level 1 to Level 2? The CHIS Learning Plan is a great resource that utilizes NNLM’s many online learning opportunities for library staff to earn a Consumer Health Information Specialization Level 1 or 2 within a short amount of time. And remember, NNLM… Read More »
Posted in: Consumer Health, Continuing Education
Dec
16
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NNLM SEA is proud to share an opportunity for joining a pilot course developed by a 2020-2021 Funded Project team from Virginia Commonwealth University, the University of Virginia, and George Mason University. Please see below for full details and contact information. Are you a health sciences librarian in a public-facing role (for example, a subject… Read More »
Posted in: Continuing Education, Data Science
Nov
30
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Better than Best Practices: Inclusive Data Visualization Description: Data visualization design “best practices” often do not prioritize (or outright reject) efforts to be inclusive. Libraries have an opportunity to step into the world of data visualization and empower historically marginalized voices in data creation and sharing. This webinar will explore the intersections of equity, inclusion, accessibility,… Read More »
Posted in: Continuing Education, Data Science