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.
Register for the 2019 New England Science Boot Camp for Librarians
The themes for this year’s SBC science sessions are:
- Assistive Technologies
- Social Justice in Science
- Remote Sensing
Science Boot Camp is an immersive experience that provides librarians with the opportunity to network with peers and learn about topics in physical sciences, health sciences, life sciences, and technology.
Data Science around the Regions
- Richland County Public Health Continues to Make Data FAIR
- Purdue University Funded to Provide RDM Training
- Data Flash: Can Librarians Hack it for Health? Yes!!!
- Cultivating Data-Savvy Services, Bit by Bit
- Highlights of Funding Collaboration Between NNLM PSR and the Public Library Association on Project Outcome Activities
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.