developing liaison librarians data-intensive research engagement
TRANSCRIPT
Developing Liaison Librarians for Data-Intensive Research Engagement
Hilary M. Davis & Honora N. EskridgeNC State University
Top 3 take-aways
● Train for exposure● Develop for depth● Put it into practice
Generalist with Broad Knowledge
Dom
ain/
Subj
ect E
xper
tise
Func
tiona
l Exp
ertis
e
Forces that are shaping change
Research is changing Subject liaison roles are changing
http://go.ncsu.edu/chass-bigdiva
osf.io/tvyxz
Our story
https://101innovations.wordpress.com/
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Training options
Needs for “short-course” experience:
● Hands-on ● Lay a foundation● Exposure to methods and tools● Integrate with work/projects● Community of practice
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?
In-house Datascienceshort course
Oct 2015
Data & VizInstitute forLibrarians
May 2016
Curriculum TeamObjectives:
○ 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.
SessionsWhole- 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
Logistics Team
● Hotel● Food - Breakfast/lunch/reception● Transportation● Space● Computers and IT support● Website● Training materials● Cost
Leadership Team
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
What’s nextData 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/
Going Forward
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