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.
10th Annual University of Massachusetts and New England Area Librarian e-Science Symposium
Libraries in Data Science: Past and Future
Thursday, April 5th, 2018, 8:30 am - 3:30 pm
Join your colleagues at the University of Massachusetts Medical School in Worcester, MA for the 10th Annual e-Science Symposium! Attendance is free, but advance registration is required for all presenters and attendees. Registration Deadline: March 20th, 2018.
Join the Data Librarian Community!
Four Upcoming Opportunities for Librarians Interested in Data...
10th Annual New England eScience Symposium
April 5th, 2018 at the University of Massachusetts Medical School
1st Annual Mountain West Data Librarian Symposium
July/August 2018 in Denver
They're in the planning stages, but why not volunteer on their planning committee! Just email them a short statement on why you wish to participate and what data related topics you'd like included at the inaugural symposium.
4th Annual Midwest Data Librarian Symposium
October 8-9th at Iowa State University
1st Annual Southeast Data Librarian Symposium
October 8-9th at Georgia Tech
Online Data Literacy Course
March 5th - April 27th, 2018
The Engagement Lab at Emerson College is collaborating with the City of Boston to offer a free six-week online course that teaches librarians the basics of data literacy. The course has been designed by Catherine D’Ignazio (Emerson College) and Rahul Bhargava (MIT), internationally recognized leaders in data literacy for public information professionals and developers of the Databasic.io platform. No prior experience with data required!