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Expertise and Resource Portals for University-Industry Engagement - Jeff Horon

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University systems, state governments, and economic development organizations are developing new expertise and resource portals to foster university-industry engagement. These portals expose subject matter experts conducting research and university resources like core facilities willing to engage with industry, making experts and resources discoverable by search and easier to connect with.

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Expertise and Resource Portals for University-Industry Engagement - Jeff Horon

  1. 1. Expertise and Resource Portals for University-Industry Engagement David Knowles | RENCI George Raudenbush | Arizona State University Jeff Horon (moderator) | Elsevier Research Intelligence UEDA Annual Summit 2014
  2. 2. Abstract University systems, state governments, and economic development organizations are developing new expertise and resource portals to foster university-industry engagement. These portals expose subject matter experts conducting research and university resources like core facilities willing to engage with industry, making experts and resources discoverable by search and easier to connect with.
  3. 3. Trends
  4. 4. Increasingly interconnected data resources (‘micro’ level) For external audiences -Technologies available for license -Patents -Grants -Publication repositories -Media relations -Websites (university, school/college, departmental, lab, individual) For internal audiences -HR -Grant proposals -Finance -[Faculty] activity reporting -Surveys
  5. 5. The problem of fragmentation Evidence-based business decision making requires trusted information about research affairs but research information is often fragmented. Researchers must interact with and report information to a variety of systems. Researchers HR Awarded Grants Finance Document Repository Other systems
  6. 6. Research administrators and managers have to search multiple systems to find the information they need. Administrator HR Awarded Grants Finance Document Repository Other systems
  7. 7. This leads to inconsistent and incomplete data, multiple requests for the same information and the extra effort of working across multiple systems. HR ! ! Awarded Grants Finance Other systems Administrator Document Repository Researchers
  8. 8. Developing interconnectedness… HR Awarded Grants Finance Data Warehouse, In-house System, Purchased System Data entered by researchers, administrators, librarians, etc. Legacy data Document Repository External databases, including: publications, patents, benchmarking data, etc. Paid Data Entry
  9. 9. HR Awarded Grants Finance …. allows for repurposing: Data Warehouse, In-house System, Purchased System Data entered by researchers, administrators, librarians, etc. Legacy data Document Repository External databases, including: publications, patents, benchmarking data, etc. Paid Data Entry
  10. 10. Increasing automation New methods for obtaining data: -Enable better coverage of resources (particularly publications, grants, and patents) -Do not require faculty data entry compliance -Synchronize with other systems to minimize data fragmentation
  11. 11. Increasing interconnectedness (‘macro’ level) VIVO – http://vivoweb.org – ‘Linked open data’ Direct2Experts – http://direct2experts.org – Federated searching
  12. 12. Increasing interconnectedness (‘meso’ level) State-wide, regional, and multi-university portals, e.g.:
  13. 13. Costs of not playing Zero sum game (“my win is your loss”) for research funding We are spending a smaller percentage of GDP on research:
  14. 14. NIH Research Project Grants – Competing applications, awards, and success rates NIH Data Book – (http://report.nih.gov/ndb/index.aspx) Data provided by the Division of Statistical Analysis and Reporting Branch Costs of not playing Numbers of applications remain high; success rates low
  15. 15. Costs of not playing Federal R&D Budgets are not improving (anytime soon)
  16. 16. Expertise and Resource Portals for University-Industry Engagement Jeff Horon | Consultant UEDA Annual Summit 2014
  17. 17. Michigan Corporate Relations Network
  18. 18. What is the Michigan Corporate Relations Network (MCRN)? http://michigancrn.org/
  19. 19. What is the University Experts Portal?
  20. 20. Where does the data come from?
  21. 21. Where does the data come from?
  22. 22. Where does the data come from?
  23. 23. Where does the data come from?
  24. 24. How to use the University Expertise Portal
  25. 25. How to use the University Expertise Portal
  26. 26. How to use the University Expertise Portal
  27. 27. How to use the University Expertise Portal
  28. 28. How to use the University Expertise Portal
  29. 29. How to use the University Expertise Portal
  30. 30. How to use the University Expertise Portal
  31. 31. How to use the University Expertise Portal
  32. 32. How to use the University Expertise Portal
  33. 33. How to use the University Expertise Portal
  34. 34. Search Widget
  35. 35. Advanced Concept Search
  36. 36. Copy/Paste Text Search
  37. 37. Florida ExpertNet
  38. 38. Technologies available for license
  39. 39. Instructional programs
  40. 40. Challenges
  41. 41. ROI can be difficult to track and claim Users can often circumvent the desired workflow, undermining tracking Large-scale partnerships have other factors, such as geography, labor force, tax incentives, etc. End-users can be difficult to reach Very large potential user base; what makes your meso-level portal stand out? Search engine traffic; how do you drive traffic? how do you encourage users to self-screen?
  42. 42. Contact: j.horon @ elsevier.com Materials posted at: http://jeffhoron.com www.elsevier.com/research-intelligence
  43. 43. Panel Q&A

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