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The Problem: How to Evaluate Scholarly Productivity

Academic Analytics: Obtaining Benchmarks for Faculty Productivity Carol Livingstone Division of Management Information www.dmi.illinois.edu livngstn@illinois.edu 333-3551. The Problem: How to Evaluate Scholarly Productivity. Very few good measures G & C – dollars/numbers

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The Problem: How to Evaluate Scholarly Productivity

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  1. Academic Analytics:Obtaining Benchmarks for Faculty ProductivityCarol Livingstone Division of Management Informationwww.dmi.illinois.edulivngstn@illinois.edu333-3551

  2. The Problem: How to Evaluate Scholarly Productivity • Very few good measures • G & C – dollars/numbers • College/dept collections of publication and awards data • Anecdotal evidence from faculty search and outside offer processes

  3. The Problem: How to Evaluate Scholarly Productivity • No easy benchmarks/peer comparisons • No campus-wide database for vita info - publications and awards

  4. Overview of Academic Analytics • AA has compiled a massive database of journal articles, books, chapters, grants, honors, awards, etc. • The scholarly output is matched by name with faculty and researchers at schools nationwide • The database can be used to quantify scholarly output at any university – by discipline – and compare it to peers

  5. AA Database contents - Measures • Books • Honorific awards • Journal Articles • Citations • Grants

  6. Database Scope • 9,874 PhD programs • 385 institutions, 170,000+ faculty • 172 disciplines in 11 broad fields • 22 AAU institutions actively participate, 30 others considering

  7. Book Variables • 56,000 authored & edited books (Baker & Taylor, Library of Congress, British Library) • Books per faculty member • # Faculty who published a book • % of faculty with a book • Total number of books

  8. JournalArticleVariables • 1 million+ articles (journals, and conference proceedings) • Articles per author • Articles per faculty member • # Faculty with an article • % of Faculty with an article • Total number of articles

  9. Citations • 10 million + Citations (Scopus & Proquest) • Citations per author • Citations per article • Citations per faculty member • # Faculty with a citation • % of Faculty with a citation • Total number of citations

  10. Honorific Awards • 395 awarding bodies, 2700+ award types • Awards per faculty member • # Faculty with an award • % of Faculty with an award • Total number of awards

  11. Grants Variables • 95,000+ federal research grants • Dollars per Grant • Grant dollars per faculty member • # of Faculty with a grant • % of Faculty with a grant • Total Grant dollars • Total number of grants

  12. Academic Analytics AAU Clients Cornell Duke Emory Iowa State Johns Hopkins MIT Ohio State SUNY - Stony Brook Texas A & M Chicago Colorado Kansas Missouri - Columbia Missouri - Kansas City North Carolina Pittsburgh USC Wisconsin - Madison Vanderbilt Wash U - St. Louis

  13. Where we are • Summer, 2011 – 3 yr contract signed • Fall, 2011 - Steering team commissioned • 30 users have been authorized • Fall, 2009 faculty data available through web dashboard • Fall, 2010 faculty lists are being processed

  14. Annual Process –Faculty Lists • AA

  15. Academic Analytics Output • Summary data by department or broad disciplinary area (not by faculty member) • Comparisons to selected peers • Access to entire scrubbed database • Analytical tools through a dashboard interface

  16. Sample Output – Productivity Radar

  17. Sample Output – Program Gauge

  18. Sample Output – Quintile Analysis

  19. Steering Committee Goals • Refine faculty selection process/criteria • Oversee rollout to college/dept staff • Evaluate tool

  20. DemoQuestions??

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