Love Data Week (Feb. 14 to 18) is an international celebration of all things data! Each year, the Center for Data and Bioinformation Services (CDABS) at the Health Sciences and Human Services Library (HSHSL) looks forward to engaging our community on issues like data management, sharing, wrangling, and visualization, as well as open and reproducible science.
Want to participate in Love Data Week? Here’s how:
- Join CDABS on Tuesday, Feb. 15, at noon for a virtual, interactive, introductory workshop on the Open Science Framework (OSF), a research project management and collaboration tool from the Center for Open Science. The University of Maryland, Baltimore recently became an OSF member institution. Learn more about what that means for you, and register here.
- Adopt a Dataset or attend a webinar with ICPSR, the official Love Data Week organizers and an excellent place to find data! Visit their site for more information.
- Join our friends at the National Library of Medicine throughout the week for their series of workshops on topics including Census Tools to Better Understand Your Community, the National Institutes of Health (NIH) Data Sharing and Management Plan, DMPTool Basics, and Doing No Harm with Data Viz. (Note: You must sign up for a free NLM account to register).
- Attend the Community Building Convention for NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD). The goal of AIM-AHEAD is to enhance diversity in the field of artificial intelligence and machine learning (AI/ML), with emphasis on reducing health disparities and promoting health equity. Listening sessions will be held for different communities throughout the week. Find your session and register.
Finally, as always, you can join the conversation on social media #LoveData22 and #UMBLovesData.
Questions? Contact Amy Yarnell, data services librarian, at firstname.lastname@example.org.
The Center for Data and Bioinformation Services (CDABS) is the University of Maryland Health Sciences and Human Services Library hub for data and bioinformation learning, services, resources, and communication.
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