1. ACADEMIC ANALYTICS AAD 2014 RELEASE Daniel Jones-White Office of Institutional Research

2. ABOUT ACADEMIC ANALYTICS

3. WHAT IS ACADEMIC ANALYTICS?  Company found in 2005 to complement and supplement the National Research Council’s (NRC) assessment of doctoral programs.  Their mission is to help universities by providing high quality, discipline-level data on faculty research outputs that administrators can use to support strategic decision making.  They provide custom academic business intelligence data and solutions to research universities in the United States, the UK and Europe.  Currently, they have 120 subscribers including 35 AAU members (including 22 AAU publics).

4. HOW DOES IT COMPARE TO OTHER PRODUCTIVITY DATA Udata Able to generate institutional reports on new data not captured in existing databases Web-based reporting solution and activity repository Used to generate CVs; biosketches; merit, faculty, and accreditation reports Data internal to U 3-year contract (through 2015) Elsevier Pure (formerly Experts) allows for searches on faculty expertise areas SciVal (pilot) provides information on emerging research and scholarship areas Data pertains to U; can be accessed from outside 3-year contract (through 2015) Academic Analytics Allows for comparative data collection across departments, disciplines, and Ph.D. programs within and outside the US Data pertains to faculty and academic programs U-specific and external data Audience primarily internal to U 2-year contract through 2015

5. SUBSCRIBERS AND NON-SUBSCRIBERS, UMN-TC COMPARISON GROUP  SUBSCRIBERS  Ohio State University  University of Florida  University of Illinois  University of Minnesota  University of Texas  University of Wisconsin  NON-SUBSCRIBERS  Pennsylvania State University  University of California-Berkeley  University of California-Los Angeles  University of Michigan  University of Washington-Seattle

6.  SUBSCRIBERS  University of Illinois  Indiana University  University of Maryland  Michigan State University  University of Minnesota  University of Nebraska  Ohio State University  Rutgers University  University of Wisconsin-Madison  NOn SUBSCIBERS  University of Chicago  University of Iowa  Northwestern University  Purdue University  University of Maryland  University of Michigan SUBSCRIBERS AND NON-SUBSCRIBERS, COMMITTEE ON INSTITUTIONAL COOPERATION (CIC)

7. WHAT DATA DO THEY PROVIDE? Program Data Faculty Counts Faculty Details Academic Outcomes

8. DATA WAREHOUSE & DATABASE

9. FACULTY PRODUCTIVITY MATCHING

10. BREAKDOWN OF THE VARIABLES

11. ACCESSING THE DATA

12. http://portal.academicanalytics.com/ Username: MDeansTe@301 password: Minnesot1

13. HOW CAN THE DATA BE USED?

14. COMPARATIVE BENCHMARKING Using the program data for

15. PROGRAM BENCHMARKING

16. PROGRAM STRENGTHS AND WEAKNESSES

17. FACULTY COUNTS DATA

18. RECENT SCHOLARLY ACCOMPLISHMENTS For your internal use only

19. MAP TO INSTITUTIONAL DATA For your internal use only

20. Graduate Teaching Load and Research Publications Example: MS and PhD credit hours versus publication count Publication count Student credit hours taught For your internal use only