Developing Partnerships for Academic Data Science Consulting and Collaboration Units

Marianne Huebner Co-Author
Michigan State University
 
Laura Bond Co-Author
Boise State University
 
Joel Herndon Co-Author
Duke University
 
David Edwards Co-Author
Virginia Commonwealth University
 
Gina-Maria Pomann Co-Author
Duke University
 
Felesia Stukes Speaker
Johnson C. Smith University
 
Tuesday, Aug 5: 11:35 AM - 11:55 AM
Topic-Contributed Paper Session 
Music City Center 
Data science consulting and collaboration units (DSUs) are core infrastructure for research at universities. Partnerships are needed for a thriving DSU as an active part of the larger university network. This presentation will provide guidance with examples, summarized as six rules for identifying, developing and managing successful partnerships for DSUs: (1) align with institutional strategic plans, (2) cultivate partnerships that fit your mission, (3) ensure sustainability and prepare for growth, (4) define clear expectations in a partnership agreement, (5) communicate and (6) expect the unexpected. While these rules are not exhaustive, they are derived from experiences in a diverse set of DSUs, and can be adapted to different organizational models for DSUs.

Keywords

Data Science Consulting

Partnerships