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Library support for metrics: What can and should we do?

Presented at SLA-MD's Leveraging Data to Lead

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Library support for metrics: What can and should we do?

  1. 1. Library Support for Metrics: What can and should we do? November 5, 2015 Christina K. Pikas Librarian Information & Research Services Manager
  2. 2. Management and other stakeholders want valid and reliable metrics to use for allocation of funding, making investment decisions, and evaluation of current programs.
  3. 3. They may be happy to accept Invalid, improperly applied, or unreliable metrics if they are easier to come by or are hyped
  4. 4. Libraries and librarians are ideally suited to help – but how?
  5. 5. Agenda  How should libraries support metrics? What services should we offer? What are reasonable questions to answer and for which strategic audiences?  How can we (gently) steer our organizations toward better, more ethical use of metrics?  How can we build expertise before we have the commissioned work?
  6. 6. Example services, questions, & customers
  7. 7. Benchmarking, Competitive Intelligence Questions: How do we compare to similar/peer/aspirational organizations Audience: C-level. Organizational or at least departmental leadership
  8. 8. Tech Watch & Horizon Scanning  Questions:  Who is doing what research?  What are the trends in this field?  What research groups are using this methodology?  Audience:  Business planners  PIs  Tech Transfer
  9. 9. Internal/External Collaboration Patterns  Are we siloed or is there collaboration across the organization?  Do we collaborate with industry/government/academe
  10. 10. Collection Development Questions: What are our users citing that we have/do not have/want to cancel/want to put in off-site storage?
  11. 11. Promotion/tenure/personnel evaluation  Ethics slides to come.  Help prepare grant applications and tenure packages.  Information on the venues and the attention their work has gotten.
  12. 12. Ethical use of metrics
  13. 13. Impact Factor  Popular because it’s widely available and well-established.  Its calculation isn’t completely transparent and reproducible  Definitely field dependent  Articles can be cited that are not included in the total number of articles for a publication (editorials)  …
  14. 14. h-index  Adopted immediately because it’s easy but…  Dependent on field  Dependent on age (can only get higher)  …  Modifications take away from the easiness
  15. 15. For people Don’t measure people with metrics intended for publications Don’t rely on a single number to place a value on someone’s contributions.
  16. 16. Building the service
  17. 17. Offering services while you learn  Doing bibliometrics and leveraging data requires continuous learning.  Real-world actual problems are necessary to work though complicated steps.  Best to work with trusted customers and iterate.  Consider an internal review process.
  18. 18. Learn together…  Join our Community of Practice (end of the day discussion)  Read ASIST’s SIGMETRICS list  Attend webinars and events  ASIST  SLA  Vendor  Teach us in future sessions
  19. 19. Contact  Christina K. Pikas Christina.Pikas@jhuapl.edu  Blog: http://christinaslisrant.scientopia.org  Twitter: @cpikas  Slideshare: cpikas
  20. 20. Credits Tim Lang. Collapsible ruler. https://flic.kr/p/57Vwyg Biking Nikon SFO. Ruler - Wooden. https://flic.kr/p/4YkJYo Tom Fassbender. Measure Twice. Cut Once. https://flic.kr/p/8HwCen Bill Selak. Mouse Trap. https://flic.kr/p/DNbeu Kenny Louie. The Computing Scale Co. https://flic.kr/p/bU9buv Dennis Jarvis. New Lobster Traps. https://flic.kr/p/aaX9XE Paul Stainthorp. Rat Trap. https://flic.kr/p/ay37Ug Timlewisnm. Hanson Bros. Scale. https://flic.kr/p/6drn4X Carolina Biological Supply Company Solution being stirred in a beaker https://flic.kr/p/99MJmf Kitty Schweizer. https://flic.kr/p/4jLN3F Miguel Tejada-FloresToledo Scale. https://flic.kr/p/nJjaDt Rafal ZychOld weighing scale. https://flic.kr/p/pZXTtL Michael Allen SmithCoffee Scalehttps://flic.kr/p/76BgMY

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