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Leveraging NC’s Knowledge Assets & Research Capacity

Leveraging NC’s Knowledge Assets & Research Capacity. January 29, 2010 Faculty Council. Problem Statements. Universities are incredibly large and diverse hubs of knowledge and activity Truly impossible to quantify the wealth of knowledge and activities that exist on campuses

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Leveraging NC’s Knowledge Assets & Research Capacity

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  1. Leveraging NC’s Knowledge Assets & Research Capacity January 29, 2010Faculty Council

  2. Problem Statements • Universities are incredibly large and diverse hubs of knowledge and activity • Truly impossible to quantify the wealth of knowledge and activities that exist on campuses • Difficult to answer the question, “Who knows what?” • Potential Missed Collaborative Opps

  3. Problem Statements • Difficult to ‘market’ the University because breadth of activity is large • Data can exist in silos or not at all • Large repositories of data can exist, but not be leveraged

  4. Traditional Answers • Keyword searches • Google • Reference Databases • Direct, firsthand knowledge • ‘Word of mouth’

  5. The Initiative • Aggregate and leverage large repositories of scholarly activity & research data • Use taxonomical classification to create ‘digital fingerprint’ representations of expertise • Create a ‘dashboard’ of powerful visualization tools to ‘tell the story’

  6. The Initiative • “This has all been tried before and failed. What is different about this project from those previous failed attempts?

  7. The Partnership • UNC-Chapel Hill • Office of Research Info Systems (ORIS) • NC Translational and Clinical Sciences Institute (TraCS) • Renaissance Computing Institute (RENCI) • NC State University • UNC General Administration

  8. The Project • Phase 1 (funded) • UNC-Chapel Hill • NC State University • Phase 2 (to be funded) • Remainder of UNC-system Universities • Phase 3 (theoretical) Duke, Wake Forest, etc

  9. Sources of Data • Unique License with Elsevier/Scopus • RAMSeS • Intellectual Property Data • Financial Expenditure Data • Google Scholar (Citations) • Others as identified

  10. Sources of Data: Scopus • 18,000 journal titles/5,000 publishers • 16,500 peer-reviewed journals • 600 trade publications • 350 book series • 3.6 million conference papers • 38 million publication records • 23 million patent records

  11. Sources of Data: Scopus Titles • Agricultural & Biological Sciences (1155) • Arts & Humanities (775) • Biochemistry, Genetics & Molecular Biology (1373) • Business, Management & Accounting (458) • Chemical Engineering (486) • Chemistry (357) • Computer Science (622) • Decision Sciences (95) • Dentistry (85) • Earth and Planetary Sciences (522) • Economics, Econometrics and Finance (238)

  12. Sources of Data: Scopus Titles • Energy (220) • Engineering (622) • Environmental Science (1237) • Health Professions (94) • Immunology & Microbiology (294) • Materials Science (542) • Mathematics (509) • Medicine (7288) • Neuroscience (176) • Nursing (274) • Pharmacology, Toxicology & Pharmaceutics (485)

  13. Sources of Data: Scopus Titles • Physics & Astronomy (423) • Psychology (3129) • Social Sciences (1177) • Veterinary (96)

  14. Sources of Data: RAMSeS • Research Proposals • Research Awards

  15. Live Demonstrations • Digital Fingerprint • Geographical Activity Maps • Economic Impact Maps

  16. Potential Benefits • Faculty/Student Recruitment • Research Capacity Promotion • Collaborative Proposal Development • ID Unique Opportunities • Media/Legislative inquiries • Community/Regional Economic Development

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