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.

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)

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

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

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

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

Analytical Tools for Content Analysis – Unusual Combination

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

Word Clouds to Check Relevancy of Texts: NIH

Word Clouds to Check Relevancy of Texts: NSF

Relative Coverage of Workshop Themes and Subthemes

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)  

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

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

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)

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.

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. 00170205]. Pittsburgh, PA, USA: TCB Research & Indexing LLC. February 2017. https://doi.org/10.13140/RG.2.2.10522.85445. 45 pages Catalog of 99 workshops Content analysis 2 indexes (Resource and Subject) for workshop content

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

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