At NCSU, librarians have developed a curriculum which is being offered to the library community as the Data and Visualization Institute for Librarians, enabling participants to develop knowledge, skills, and confidence to communicate effectively with researchers.This presentation will discuss the skills liaison librarians must now learn to support faculty and students in these new areas.

1. Developing Liaison Librarians for
Data-Intensive Research Engagement
Hilary M. Davis & Honora N. Eskridge
NC State University

2. Top 3 take-aways
● Train for exposure
● Develop for depth
● Put it into practice
Generalist with Broad Knowledge
Domain/SubjectExpertise
FunctionalExpertise

3. Forces that are shaping change
Research is changing Subject liaison roles are changing
http://go.ncsu.edu/chass-bigdiva
osf.io/tvyxz

4. Our story
https://101innovations.wordpress.com/
http://denniskneale.com/cms/wp-content/uploads/Data-Horde-Art1.png
2014

5. Training options
Needs for “short-course”
experience:
● Hands-on
● Lay a foundation
● Exposure to methods and tools
● Integrate with work/projects
● Community of practice

6. Poll
How many of you have done or are going to
conduct on-site group training in data
science, data management, and/or data
viz?

7. In-house
Data
science
short course
Oct 2015

8. Data & Viz
Institute for
Librarians
May 2016

9. Curriculum Team
Objectives:
○ Effectively use language of data science to communicate with
researchers.
○ Demonstrate basic methods of exploring and analyzing data.
○ Apply visualization techniques to improve data communication.
○ Learn tools and techniques for version control.
○ Understand data sharing requirements of publishers and funding agencies.
○ Understand impact of open research practices.

10. Sessions
Whole- and Half-day Workshops 1-hour Short sessions
● Data exploration & statistical
analysis
● Data visualization
● Data description, sharing, & re-use
● Data cleaning and preparation
● Gathering & analyzing textual data
● Gathering and analyzing
multimedia data
● Bibliometric Network analysis
using Sci2 and Gephi
● Open Science: Version
Control with Git and Github
● Open Science: Overview
● Data use agreements and
open data

11. Logistics Team
● Hotel
● Food - Breakfast/lunch/reception
● Transportation
● Space
● Computers and IT support
● Website
● Training materials
● Cost

12. Leadership Team

13. Feedback
“What a unique and wonderful learning opportunity for librarians. I
really think it hit the mark for so many of that are starting out…”
Good
● Data viz
● Statistical data
exploration
● TAs
● Hospitality
Bad
● Need more hands-on
● Need more networking
● Procrastinating
instructors
● Staff time
Ugly
● Instructor with 240 slides
● Jury duty
● Intensive computing prep
● Power for laptops

14. What’s next
Data Science & Viz Institute for
Librarians: April 24-28, 2017
https://www.lib.ncsu.edu/datavizinstitute
IMLS-funded project: Data Science in
Libraries
http://datascienceinlibraries.org/

15. Going Forward
http://nelsontraining.co.uk/wordpress/wp-content/uploads/2015/12/Return-on-investment-image.jpg

16. Thanks!
hilary_davis@ncsu.edu
honora_eskridge@ncsu.edu