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

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A discussion of data librarianship skills used in academic, corporate, special and public libraries.

Published in: Data & Analytics
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OLA Super Conference 2019: Data Skills for 21st Century Library Practice

  1. 1. Data Skills for 21st Century Library Practice OLA Super Conference 2019
  2. 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. 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. 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. 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. 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. 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
  8. 8. Questions & Discussion
  9. 9. Kimberly Silk, M.L.S. Sr. Planning & Development Officer Hamilton Public Library ksilk@hpl.ca Thank You

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