Meeting Information
Date
March 24, 2023
Time
2:00-3:00 PM
Location
NAH 359, Montana Room
Attendees
Members
Members
Members
Non-Members & Guests
Ryan Knutson, co-chair
Tony Campeau
Terry Leist
Miranda Bly, admin support
Chris Fastnow, co-chair
Alison Harmon
Eleazar Ortega
Allison Crow, admin support
Camie Bechtold
Justin van Almelo
Leslie Weldon
 
MSUN representative TBD
 
 
 
  1. Introductions (Round Table)
  2. Charge of Committee
    1. Data Governance and Strategy Council recommends policies, priorities, process, and practice for the four-campus Montana State University system to more fully manage and leverage the data assets the system owns and develops.
      1. What It Was vs. What It Is Now and Why This Matters
      2. Example of Decisions We Might Impact
    2. Value of Data to the University
      1. EAB Why Data Governance Matters
    3. Role of Data Stewards and Other Experts
  3. General Responsibilities
    1. Mapping the Data Environment
    2. Prioritizing Enhancements to the Data Environment in Alignment with Institutional Operational and Strategic Needs
    3. Developing Policies to Govern Data Stewardship, Definition, Distribution, Integration, Reporting, and Analysis
    4. Conducting Data Incident Post-mortems
  4. Work Plan for Council (details below)
  5. Discussion of Goals
  6. Identified Problem Areas to Address
  7. Traditional Meeting Routine with Focus on Policy, Procedure Review, and Recommendations
    1. Old Business (introduced in a prior meeting)
    2. New Business (to be revisited in a subsequent meeting)
    3. Staff Led Shared Learning/Training/Strategy

Task 

Type 

Supported by 

Notes 

Annually review inventory of data assets. 

Review 

Data stewards, UIT, OPA, campuses

Includes enterprise, integrations, siloed data 

Prioritize data assets for attention 

Decide/recommend 

Strategic Plan(s), ET, (UIT, OPA) 

Address substantive institutional priorities 

Champion data curation/hygiene 

Do 

Exception reporting summary (ESG, OPA, complaints) 

Based on identified areas of institutional risk, missing information 

Develop policy for data definition and distribution 

Decide/recommend 

UIT, Compliance, OPA 

e.g. require a data dictionary and assign responsibility; formalize security/access decision making 

Review/formalize data steward roles, responsibilities, assignments 

Decide/recommend 

Existing policy, other examples 

Multiple types/levels of data stewards included with different roles and responsibilities, e.g. domain, project, area 

Review the framework/guidance to classify data asset security and access 

Review 

Existing policy, other examples, CISO 

 

Define data use guidelines 

Decide/recommend 

CDO if we have one, campus IR offices 

e.g. require reports and analyses to include sources and intended use, require alignment with operational objectives and strategic priorities 

Annually review inventory of available tools for accessing, extracting, reporting, analyzing 

Review 

Data Collaborative 

 

 

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