Scholarly Activity and Research Networking Tools at the University of Minnesota Kate McCready, University Libraries.

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Presentation transcript:

Scholarly Activity and Research Networking Tools at the University of Minnesota Kate McCready, University Libraries

Proquest Pivot (formerly COS Funding) SciVal Funding Identify Funding Sources Proquest Pivot (formerly COS Funding) SciVal Funding Identify Funding Sources UMN Profiles SciVal Experts Research Networking & Expertise Systems UMN Profiles SciVal Experts Research Networking & Expertise Systems Acadmic Analytics SciVal Spotlight College, Program, & Departmental Benchmarking Acadmic Analytics SciVal Spotlight College, Program, & Departmental Benchmarking UDATA – Digital Measures Faculty & Staff Individual Reporting Merit, Promotion, & Tenure, Accreditation Review CV & Bio-sketch Creation UDATA – Digital Measures Faculty & Staff Individual Reporting Merit, Promotion, & Tenure, Accreditation Review CV & Bio-sketch Creation The UMN

- Scopus Literature Database - SciVal Experts - SciVal Funding - SciVal Spotlight Elsevier’s SciVal Suite & Scopus

Scopus Literature Database On campus trial (not yet linked to all full text sources):

Scopus Coverage by Discipline Data: 9,300 vs 17,300 Titles Nearest Competitor Scopus Physical, Chemical and Earth Sciences Humanities & creative arts Engineering & environmental Sciences Social, Behavioural & Economic Sciences Mathematics, Information & Communication Sciences Biological Sciences and Biotechnology Biomedical & Clinical Research Public and Allied Health and Health Services

Similar Experts: Displays similar scholars from the same institution. The scholars’ names are provided by the institution. Subject area matching is done by the SciVal Experts’ system. Publications/Journals: These lists are built from the Scopus citation database. “Fingerprinting” technology is employed to ensure the match between scholar name and publication titles is accurate. Networks: Lists both internal departments/organizations, and external institutions that are connected to this expert. Also displays scholars who have coauthored articles (regardless of affiliation). Directory Entry: Names of scholars, along with their affiliations, and contact information are supplied by the institution. At the University of Minnesota, this information will be supplied from the UMN Data Warehouse. Photos will not be included or sent to Elsevier. Trends/Research Network: Graphical displays of the research concepts and coauthors/collaborators that have been most significantly present over this researcher's career. Grants/Patents: Lists funded research that has been awarded to this scholar. Data is both supplied by the institution and harvested from public sources. Patent awards can also be displayed here. Profile of Herman S. Cheung taken from the University of Miami’s SciVal Experts instance. SciVal Experts

Aggregating individual fingerprints across organizational units allows for the organization to know what individuals know and what groups know together… DepartmentInstitute Research Group What new publications and grants have been produced? What trends have emerged over time? Who is working together? With what other organizations (internal and external) are we collaborating? What do we know? Individual Fingerprints Aggregated Fingerprints 7 SciVal Experts: Aggregating Fingerprints

Connectivity to Other SciVal Institutions

Arizona State University University of Michigan: University of North Carolina at Chapel Hill and North Carolina State University SciVal Experts - Implementations

SciVal Funding – Search & Browse

SciVal Funding – Integrated with Experts

SciVal Funding – Customize Results

SciVal Spotlight – Circle Map

SciVal Spotlight – Details View

Scopus & SciVal Suite Contacts for questions or more information: Kate McCready, University Libraries – SciVal Project Manager