1. Library Workshops in Support of Data-Driven Research in
Top NIH- and NSF-Funded Universities
Tanja Bekhuis, PhD, MS, MLIS, AHIP
EDDA Analytics Group™
TCB Research & Indexing LLC
Medical Library Association 117th Annual Meeting
Seattle, Washington
May 2017
Copyright © 2017 TCB Research & Indexing LLC. All Rights Reserved.

2. Data Science Trends In 2012, NIH launched BD2K initiative:
Across NIH institutes and centers
To build resources and tools for digital ecosystem
To build workforce with necessary
computational skills
Less-than-massive datasets also challenging:
Partly structured or unstructured
Heterogeneous (numeric, textual, audio, visual)

3. Data Science Trends (continued)
NSF is funding multidisciplinary research:
Partnering with NIH and many other federal agencies and organizations
Extreme multidisciplinarity of research teams
E.g., can consist of computer scientists, engineers, informaticians, biologists, clinicians
Urgent need for computationally-savvy researchers to compete
Libraries in top-funded universities now offer workshops about data science

4. Study Design Find top-funded schools
NIH Research Portfolio Online Reporting Tools
NSF Budget Internet Information System
Extract info on 99 workshops from websites for
Health sciences libraries (n = 5)
Main libraries (n = 5)
Apply criteria for inclusion and exclusion of workshops
Catalog workshops, analyze content, develop 2 indexes (resource and subject)
© 2016 T. Bekhuis no. 4

5. Inclusion Criteria for Workshops
INCLUDE if
Title or description mentioned
data AND (research OR analysis) OR
Lexical variants mentioned, such as
computational project, study, or analytics
Offered in fall 2016

6. Exclusion Criteria for Workshops
EXCLUDE if about
Searching databases, e.g., MEDLINE or EMBASE
Bibliographic software, e.g., EndNote or Zotero Makers’ labs
unless about medical or scientific applications
Literature review methods
Grant writing
Copyright
Assessing research impact
Personal productivity

7. Analytical Tools for Content Analysis
– Unusual Combination

8. Library by Source of University Funding
Library in top NIH-funded university
N workshops
University of Michigan Taubman Health Sciences Library 4
Emory University Woodruff Health Sciences Center Library 6
Johns Hopkins University Welch Medical Library 8
University of California San Francisco Library 9
University of Pittsburgh Health Sciences Library System 15
Library in top NSF-funded university
N workshops 
University of Texas at Austin Perry-Castañeda Library 5
Columbia University Libraries
Massachusetts Institute of Technology Libraries 11
University of California Berkeley Library 16
University of Illinois Urbana-Champaign University Library 19

9. Word Clouds to Check Relevancy of Texts: NIH

10. Word Clouds to Check Relevancy of Texts: NSF

13. Relative Coverage of Workshop Themes and Subthemes

14. Most Informative Indexing Terms by Source of University Funding
NIH (n = 20 terms)
NSF (n = 20 terms)
data visualization
data analysis
pathway analysis of experimental data
data management plan (DMP)
data management
analysis tools
datasets
data collection workflow
locating health datasets for secondary analysis
data files
molecular databases
RNA ­seq data
data project, computational
comprehensive database of funding
finding tools for generating visualizations
data sources
geographic information system (GIS)
enabling systems biology research
geoprocessing tools and analyses
finding health datasets
hacker
funding
projects
genes
Python puzzles for advanced coders and beginners
makers lab
social media data analysis
navigating NCBI molecular data
code
participants
demographic data
searching databases
geospatial data, plot
optical character recognition (OCR)

15. Data Types Indicate Breadth of Workshop Coverage
big
census
digital
DNA-seq
experimental
financial
genome, annotated
geospatial
health and medical
human subjects, de-identified image metagenomics miRNA qualitative RNA-seq secondary social media textual

16. Suggestions for Strategic Planning
Conduct environmental scan of your school
ID training opportunities in data-driven research
(not credit-bearing courses)
Consider partnering with other groups on campus
Avoid redundant effort

17. Suggestions for Strategic Planning (ii)
ID gaps in coverage of data science topics
Consider workshops offered by libraries in subset
your library most resembles.
Do you cover topics well-covered by competitor schools?
If you do, consider developing workshops covered by just a few schools in the relevant subset.
Based on overlap analysis
Consider setting as a priority development of workshops about
data visualization (including GIS)
data management (including DMPs)

18. Suggestions for Strategic Planning (iii)
Differentiate your school from competitors and prepare patrons for team science.
Do not ignore workshop themes offered by schools in the other subset.
Evaluate the effectiveness of your workshops (short and long term).
Regularly check whether your workshops cover emerging topics in digital ecosystem.

19. Technical Report for this Study
Bekhuis T, EDDA Analytics Group™. Library workshops in support of data-driven research in top NIH- and
NSF-funded universities [no ]. Pittsburgh, PA, USA: TCB Research & Indexing LLC. February
45 pages
Catalog of 99 workshops
Content analysis
2 indexes (Resource and Subject) for workshop content

20. Acknowledgment
EDDA Analytics Group™ is a member of NSF Innovation Corps
Swartz Center for Entrepreneurship
Carnegie Mellon University

21. TCB Research & Indexing LLC http://www. tcbinfosci
TCB Research & Indexing LLC Specializing in Information, Health and Social Sciences Indexes for Books and Technical Reports