About

DST4L at DTU Library once more

Librarians have always been great at information management and organization. Librarians are also outstanding communicators and have been trained in transforming user information needs into strategies and resources for investigation and learning. These are core skills in data science and there is a need to focus on the role of librarians in data science in the Danish Research and Academic Library sector /DFFU-sector. The essential task of the data science professional is to transform raw, messy data into actionable knowledge that can be used by decision makers. Data Science Training for Librarians (DST4L) is a three day symposium that addresses the challenges of data science head on. DST4L is a hands-on introduction in ways to collect, clean, analyze, visualize and importantly share data. International teachers and speakers are present to put the practical and political application of data science into context and lead an open discussion into why data science is important for the evolving role of librarians.

Background

Data Scientist Training for Librarians (DST4L) is an experimental course, started at the Harvard-Smithsonian Center for Astrophysics John G. Wolbach Library and the Harvard Library to train librarians to respond to the growing data needs of their communities. Data science techniques are becoming increasingly important to all fields of scholarship. In this hands-on course, librarians learn the latest tools for extracting, wrangling, storing, analyzing, and visualizing data. By experiencing the research data lifecycle themselves, librarians develop the data savvy skills that can help transform the services they offer. Read more about the program here.

Thanks to the great souls and engaged librarians at the DTU Library, The Royal Library in Copenhagen, and The Royal School of Library and Information Science and fundings from our contributors, DST4L is coming to Copenhagen, again. The course is without cost and open for Registration from September 20th to October 9th. Space is limited and acceptance will be based on the strength of your application. The organizers will review the applications and return with final answers to those that will be able to attend physically. The workshops runs from December 7th to December 9th and the schedule can be found here. Please take a look at the schedule to see if you can commit to the program before registration. If you cannot attend the workshop, material will be made available via the DST4L @ Copenhagen website after the event is over. The workshop will be live streamed and recorded for people not attending the 3 days.

 

Inspiration to get started

Get your hands dirty! Data Scientist Training for Librarians in Denmark

Kaitlin Thaney’s Slideshares
Mozilla Science Study Group Handbook & Lessons
Instructor Training Kit

Data Scientist Training for Librarians
Teaching Librarians to Be Data Scientists
DST4L Student Blog Stories (w/ Notes & Resources)

Free Your Metadata
Getting Data Into Shape With OpenRefine
RefinePro Tutorials

Zenodo: A New Innovative Service for Sharing All Research Outputs
Zenodo. Research. Shared. Slides

Good Resources for Learning Git and GitHub

Learn Python the Hard Way
Codecademy Python
Introducing IPython Notebook
A Crash Course in Python for Scientists

Alice Thudt’s website
Design for Interactive Data Visualization
Variations on a Theme