Faculty Adoption
Faculty Adoption Kit
Data has become foundational to every discipline, yet many curricula emphasize tools without addressing the cultural conditions that determine whether data is trusted, shared, or acted upon. This kit helps faculty integrate data culture measurement into undergraduate, graduate, or professional programs using a vendor-neutral reference model.
Why teach this
- Teachable framework: a clear, two-axis model (Usage × Flow) that students can apply immediately.
- Interdisciplinary fit: relevant to IS, analytics, management, public administration, and policy.
- Real-world relevance: connects governance, trust, and AI readiness to observable behavior.
Designed for
- Information Systems
- Data Analytics
- Business Administration
- Management
- Public Administration
- Interdisciplinary data programs
What faculty receive
Complete syllabus
Semester structure aligned to Building a Data Culture, including schedule and assessment design.
Download syllabus (PDF) →Case study structure
A repeatable approach for applying UFDCM and the seven components of a mature data culture to real organizations.
View course outcomes →Standards references
Links to UFDCM and GIP definitions so instruction remains neutral, audit-friendly, and portable across sectors.
Open standards →Teaching philosophy
The course treats culture as infrastructure—observable, diagnosable, and improvable—rather than as an abstract or motivational concept. Students learn to connect governance artifacts (policies, standards, roles) to enacted behavior (usage patterns, sharing friction, trust signals).