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Apr
07
Are you looking to enhance your research skills and make your clinical questions more effective? Our one-hour, on-demand course, Using PubMed in Evidence-Based Practice, is the perfect opportunity to dive into evidence-based practice and master PubMed. You’ll gain practical skills in converting your questions into search terms, refining your results with filters, and utilizing Clinical Queries… Read More »
Posted in: All Members, Webinars and Courses
Apr
02
On behalf of the NNLM Reading Club team, we are pleased to announce the April 2025 theme: Menstruation. In recognition of Women’s National Health Week in May, we are delighted to be featuring three new books related to Menstruation. Blood by Jen Gunter Vagina Obscura by Rachel E Gross Go With the Flow by Karen… Read More »
Posted in: All Members, Opportunity to Participate
Mar
24
When you search PubMed for a phrase, or multi-word concept, its powerful search features jump into action to retrieve relevant results. Sometimes, however, you may want to use advanced search techniques to look for exact phrases or variations on a phrase. This tutorial will address the questions: What happens when I search PubMed with a… Read More »
Posted in: All Members, Webinars and Courses
Mar
19
As the newest disruptor, artificial intelligence (AI) has everyone considering its place in our daily work. For those conducting evidence syntheses, such as systematic reviews, there are numerous tasks that AI has the potential to automate or at least enhance. This webinar on April 9, 2025 on 9:00 a.m. MT will provide practical guidance and… Read More »
Posted in: All Members, Webinars and Courses
Mar
17
Creating a comprehensive data management plan is a crucial part of the research process. To help researchers and librarians navigate this process, we’ve compiled a list of valuable resources offering guidance for developing a robust and compliant DMS: NIH has a Scientific Data Sharing website, which includes information on the NIH Policy for Data Management and Sharing (DMS)… Read More »
Posted in: All Members, Data Science