NNLM RD3: Resources for Data-Driven Discovery
The NNLM supports access to biomedical and health information with the goal of making data discoverable, accessible, and citable. NNLM RD3: Resources for Data-Driven Discovery has been developed to foster learning and collaboration in data science. In order to support sharing, curating, and annotating biomedical data, NNLM RD3 serves as a resource for librarians, library students, information professionals, and interested individuals to learn about and discuss: library roles in data science; fundamentals of domain sciences; emerging trends in supporting biomedical research.
Boost Box: Consumer Health Data Literacy
Upcoming Webinar: June 11th, 2020
Join experts from the Western Pennsylvania Regional Data Center (www.wprdc.org(link is external)) to explore data literacy concepts, the role of libraries and data literacy, examples of reliable health data resources, and resources for facilitating your own data literacy program.
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Join the RD3 Content Advisory Board
The National Network of Libraries of Medicine (NNLM) Resources for Data Driven Discovery (RD3) web portal fosters learning and collaboration in data science and data management.
The Research Data Management Workgroup of the NNLM is recruiting Advisory Board members to be part of a committee that reviews and suggests resources for the RD3 web portal. If you are interested in being part of the RD3 Content Advisory Board send your name to Mary Piorun at firstname.lastname@example.org by July 1st with a brief narrative (less than 300 words) explaining your interest.
Meetings will be monthly until all current resources have been reviewed, and quarterly thereafter.
Cool Creative Communications: Dazzling Data Visualization
This class is intended as a quick-start guide to creating effective data visualizations and is geared toward a general audience with no prior experience.
Data Science around the Regions
Data Thesaurus 2.0 !
Welcome to the Data Thesaurus, a resource connecting and defining concepts, services, and tools relevant to librarians working in data-driven discovery. A definition, relevant literature, and web resources accompany each term.