OLA Super Conference 2019: Data Skills for 21st Century Library Practice

Hamilton Public Library
Hamilton Public LibraryLibrarian & Library Value Researcher at Hamilton Public Library
Data Skills for 21st Century
Library Practice
OLA Super Conference 2019
• Part 1: Data Skills in Academic Environments
• Part 2: Data Skills in Corporate and Specialized Environments
• Part 3: Data Skills in Public Libraries
Agenda
• Academic and research institutions
• Leaders in Canada:
• Laine Ruus @ UTOronto
• Wendy Watkins, Ernie Boyko @
Carleton
• Chuck Humphrey @ UAlberta
• Data types:
• Numerical
• Text
• Images
• Maps
• Multi-media
Academic Libraries
Where it all began …
• Data Reference Service
• Statistics Canada, public and
private data sources
• Research Data Management
• Preservation, Publishing
• Scholarly Communication
• Skills
• Accessing a wide variety of
systems were data reside
• Procuring data, negotiating
contracts
• Working with students and
researchers, and their data
• Various degrees of analysis
depending on service model
and student/researcher needs
• Research skills
Academic Librarianship
Evolving Practice
Data
Reference
Service
Research
Data
Management
Data
Librarianship
Corporate:
• Market Research
• Competitive Intelligence
• Content Management
• Knowledge Management
Gov’t:
• Open Data Initiatives
• Policy Development
Skills
• Data interpretation
• Trend analysis
• Contextualization & Meaning
• Data Visualization
Corporate & Special Libraries
Skills & Practice
• Data from multiple systems – many
are proprietary
• Library systems, municipal,
census, proprietary data
• Establishing metrics / measures
• Trends – what are the data telling us?
• Planning – programs, space, services,
open hours
• Program evaluation using qualitative &
quantitative (mixed) methods
• Interpretation, contextualization,
visualization
• Reporting
Public Libraries
Demonstrating Outcomes & Informing Practice
Small to medium data sets
• Excel
• Filtering, formulas, pivot tables,
charts, macros
Big(ger) Data, complex calculations
• SPSS, Stata, SAS, R
Visualization
• PowerBI, Tableau, ArcGIS, Google
Data Studio
• Many others
Data Skills
For every kind of information environment
Questions & Discussion
Kimberly Silk, M.L.S.
Sr. Planning & Development Officer
Hamilton Public Library
ksilk@hpl.ca
Thank You
1 of 9

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OLA Super Conference 2019: Data Skills for 21st Century Library Practice

  • 1. Data Skills for 21st Century Library Practice OLA Super Conference 2019
  • 2. • Part 1: Data Skills in Academic Environments • Part 2: Data Skills in Corporate and Specialized Environments • Part 3: Data Skills in Public Libraries Agenda
  • 3. • Academic and research institutions • Leaders in Canada: • Laine Ruus @ UTOronto • Wendy Watkins, Ernie Boyko @ Carleton • Chuck Humphrey @ UAlberta • Data types: • Numerical • Text • Images • Maps • Multi-media Academic Libraries Where it all began …
  • 4. • Data Reference Service • Statistics Canada, public and private data sources • Research Data Management • Preservation, Publishing • Scholarly Communication • Skills • Accessing a wide variety of systems were data reside • Procuring data, negotiating contracts • Working with students and researchers, and their data • Various degrees of analysis depending on service model and student/researcher needs • Research skills Academic Librarianship Evolving Practice Data Reference Service Research Data Management Data Librarianship
  • 5. Corporate: • Market Research • Competitive Intelligence • Content Management • Knowledge Management Gov’t: • Open Data Initiatives • Policy Development Skills • Data interpretation • Trend analysis • Contextualization & Meaning • Data Visualization Corporate & Special Libraries Skills & Practice
  • 6. • Data from multiple systems – many are proprietary • Library systems, municipal, census, proprietary data • Establishing metrics / measures • Trends – what are the data telling us? • Planning – programs, space, services, open hours • Program evaluation using qualitative & quantitative (mixed) methods • Interpretation, contextualization, visualization • Reporting Public Libraries Demonstrating Outcomes & Informing Practice
  • 7. Small to medium data sets • Excel • Filtering, formulas, pivot tables, charts, macros Big(ger) Data, complex calculations • SPSS, Stata, SAS, R Visualization • PowerBI, Tableau, ArcGIS, Google Data Studio • Many others Data Skills For every kind of information environment
  • 9. Kimberly Silk, M.L.S. Sr. Planning & Development Officer Hamilton Public Library ksilk@hpl.ca Thank You