Generating Reliable Collaboration Data: A Proof-of-Concept Project Using Research Administration Data - presented by Julie Zappi and Christopher Perkins

Generating Reliable Collaboration Data: A Proof-of-Concept Project Using Research Administration Data

Julie Zappi and Christopher Perkins

CPJZ

Associated article

https://doi.org/10.13023/3ZF7-RG83
Article of record
Generating Reliable Collaboration Data: A Proof-of-Concept Project Using Research Administration Data
JZ
Julie Zappi
Rutgers, The State University of New Jersey
CP
Christopher Perkins
Rutgers, The State University of New Jersey

Central administration at Rutgers University requested help from the Office for Research to develop a proof-of-concept tool to count collaborations between faculty, departments, schools and chancellor units across the university. This presentation will discuss how the Data, Analytics and Business Intelligence team focused on research administration and research output data to define a “collaboration,” structure available data, create interactive visualizations and allow end users to customize the level of detail displayed.

This presentation will begin by discussing the importance of generating reliable collaboration data in a university setting including use cases for the data. It will then describe the dataset that was used for the proof-of-concept project and discuss why these sources were important. Finally, the presentation will discuss future development goals and collaborators for the collaboration project.

References
  • 1.
    https://doi.org/10.13023/3ZF7-RG83
Cite as
C. Perkins and J. Zappi (2024, March 11), Generating Reliable Collaboration Data: A Proof-of-Concept Project Using Research Administration Data
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