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.
NNLM NER e-Science Forum
Research Data Management 2020 and 2030
Have you ever wondered about research support methods and considered a data lab at your library? This year’s keynote speakers are: Amy L. Nurnberger, the Program Head of Data Management Services at the Massachusetts Institute of Technology and Daniel Sheehan, the Head of GIS & Statistical Software Services at the Massachusetts Institute of Technology. This will be followed by lightning talks.
The afternoon will consist of group breakout sessions where participants can engage in hands on activities visualizing what research data management practices will look like in the future. This is a great opportunity to network, gain a few new skills, and learn about recent developments in e-science librarianship.
Data Catalog Collaboration Project (DCCP)
Follow the DCCP Blog!
The Data Catalog Collaboration Project (DCCP) helps researchers make their own data discoverable, and locate usable biomedical data that is not readily accessible elsewhere online. The DCCP is a collaboration of academic libraries working to highlight institutional biomedical research data using an open source catalog.
Announcing 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 along with links to related terms.