Articles

Addressing data science’s big bell: UC Berkeley I School’s Master of Information and Data Science program

Interview with AnnaLee Saxenian, Dean, UC Berkeley School of Information | Nov 13, 2014

UC Berkeley Master of Information and Data Science program students in front of I School

We envision the field of data science as a bell curve. At one end are the PhD statisticians, computer scientists and physicists. At the other end are data analysts doing the simpler tasks. We are preparing our students for the big bell in the middle.

Data Scientist Training for Librarians: A course and a community

By Jeremy Guillette and James Damon, Harvard University | Nov 13, 2014

DST4L badge

At face value, DST4L is a technology course that teaches librarians to script, extract, wrangle and visualize. At its heart, it reminds librarians to push themselves, each other and the profession.

Watch the one-hour Creative Data Services in Libraries webinar, download the slides, and review the list of all the resources from the presenters' slides.

Learning about research data in the lab at the Pitt iSchool

By Liz Lyon, University of Pittsburgh | Oct 23, 2014

Libraries are repositioning, restructuring and reskilling their staff to take on research data management (RDM) roles. Immersive research data management courses offer many potential benefits for LIS students, librarians and researchers.

A collaborative effort to develop a data management curriculum

By Regina Raboin, Tufts University; Andrew Creamer, Brown University; Donna Kafel and Elaine Martin, University of Massachusetts Medical School | Oct 23, 2014

New England Collaborative Data Management Curriculum

Each of the NECDMC modules for teaching researchers, students and librarians best practices in research data management includes a lesson plan, teaching slides and activities that align with NSF data management recommendations.

Watch the one-hour Rise of the Databrarian webinar, download the slides, and review the list of all the resources from the presenters' slides.

The content supply chain faces three core problems with the current state of data quality. All of these issues can prevent users from getting to the resources they need.
 
  1. Data are incomplete or inaccurate. This includes bibliographic metadata (needed for discovery) and holdings data (needed for access).

From ebooks to research collaboration to usage metrics -- find what you need now in this list of Charleston Conference events where you can connect with Elsevier. And be sure to register for Decoding the New Ebook Landscape on Nov. 5.

Lindsay King, a Public Services Librarian at Yale University, was selected by committee as the 2014 Library Connect Charleston Conference Award winner for her session entitled “Data Mining on Vendor-Digitized Collections."

As researchers and scholars increasingly move toward data-driven research, librarians are offering a growing number of services to support a diverse set of research needs. In this webinar, presenters will discuss large-scale projects and one-to-one consulting at the institute, university and consortium levels.