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Developing partnerships for academic data science consulting and collaboration units.

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Data science consulting and collaboration units (DSUs) are vital research infrastructure. Successful DSUs thrive through strategic partnerships guided by six key principles for sustainable growth and effective collaboration.

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Area of Science:

  • Research Infrastructure
  • Data Science
  • Higher Education

Background:

  • Data science consulting and collaboration units (DSUs) are essential for modern research.
  • These units support diverse activities from data management to predictive modeling.
  • DSUs require strategic partnerships to function effectively within universities.

Purpose of the Study:

  • To provide guidance on establishing and managing successful partnerships for DSUs.
  • To outline key principles for fostering collaboration and ensuring DSU value.
  • To adapt partnership strategies for various DSU organizational models.

Main Methods:

  • Summarized guidance into six core rules for DSU partnerships.
  • Derived rules from experiences across diverse DSUs.
  • Illustrated adaptability of rules with examples.

Main Results:

  • Six rules for successful DSU partnerships: align with strategy, fit mission, ensure sustainability, define expectations, communicate, and expect the unexpected.
  • Partnership agreements are crucial for defining scope, duration, staffing, cost, and evaluation.
  • DSUs are valuable organizational assets requiring strategic investment.

Conclusions:

  • Strategic partnerships are fundamental for thriving DSUs.
  • Clear expectations and communication are vital for high-quality collaborations.
  • Investment in DSUs yields significant institutional value.