USD Data Governance Program

Summary

What is the USD Data Governance Program

Body

Issue/Question

What is the USD Data Governance Program

Environment

  • DATA
  • DLP
  • Data Governance
  • Banner
  • Steward
  • University of South Dakota (USD)

Cause

A common understanding of data use, governance, and protection catalyzes business outcomes. 

Resolution

USD STAFF ONLY

USD Data Governance Program

Purpose

The University of South Dakota (USD) Data Governance Program establishes a structured framework for managing institutional data as a strategic asset. It ensures that data is:

  • Accurate and reliable
  • Secure and protected
  • Accessible to authorized users
  • Governed in compliance with regulatory and institutional requirements

The program aligns governance, security, and operational practices to support decision-making, compliance (FERPA, HIPAA, GLBA, PCI), and emerging capabilities such as analytics and artificial intelligence.

Governance Structure

USD operates a layered data governance model that integrates leadership oversight, operational coordination, and domain-level stewardship.
 

  1.  Data Governance Steering Committee
    1. Role: Strategic oversight and policy authority
    2. Responsibilities:
      • Approves data governance policies and standards
      • Defines institutional data governance strategy and priorities
      • Resolves escalated data issues and conflicts
      • Ensures alignment with regulatory and institutional objectives
      • Provides executive sponsorship and direction
    3. Membership includes:
      • CISO (chair)
      • CIO
      • Senior academic and administrative leadership
      • Legal/Compliance representation
  2. Data Governance Management Committee
    1. Role: Operational governance and program execution​​​​​​​
    2. Responsibilities:
      • Implements data governance policies and standards
      • Coordinates data stewardship activities across domains
      • Reviews and operationalizes systemwide (SDBOR) governance requirements
      • Supports RAPID/RACI role alignment and governance processes
      • Manages data-related issue intake and escalation
      • Drives data quality, access, and lifecycle initiatives
        This committee serves as the central coordination body between institutional operations and system-level governance efforts.
  3. Data Governance Roles
    • USD follows a role-based governance model aligned with BOR policy and industry best practices.​​​​​​​
      1. Data Stewards
        • Own data definitions, meaning, and usage within functional domains
        • Approve access to data based on business need
        • Ensure data quality and consistency
        • Participate in governance decisions and policy development​​​​​​​
      2. Data Custodians
        • ​​​​​​​​​​​​​​Manage technical environments where data resides (e.g., systems, databases)
        • Implement security controls and access enforcement
        • Support backup, recovery, and system integrity​​​​​​​
      3. Data Trustees
        • Provide executive-level accountability for data domains
        • Ensure data is used in alignment with institutional and regulatory requirements​​​​​​​
      4. Institutional Reporting / Analysts
        • Use governed data to produce reports and analytics
        • Work with stewards to ensure consistency and accuracy
        • Support institutional decision-making​​​​​​​
      5. Information Security
        • Defines and enforces data protection controls
        • Oversees monitoring, incident response, and compliance alignment
        • Integrates governance with security tooling (e.g., DLP, Purview)​​​​​​​
      6. Functional Offices
        (Admissions, Registrar/ARR, Financial Aid, HR, Finance, etc.)
        • Act as primary data owners and subject matter experts
        • Define business rules and operational use of data
        • Assign and support data stewards​​​​​​​
  4. Core Governance Policies and Controls
    1. Data Classification Policy
      • ​​​​​​​USD classifies data into categories (e.g., Public, Internal, Restricted) to ensure appropriate handling and protection.​​​​​​​
      • Key objectives:
        • Align data protection with sensitivity and risk
        • Enable consistent access control decisions
        • Support compliance with FERPA, HIPAA, GLBA, and other regulations​​​​​​​
    2. Data Loss Prevention (DLP)
      • USD uses Microsoft Purview and related technologies to enforce data protection controls:
        • Detection of sensitive data (PII, financial, regulated data)
        • Blocking or restricting unauthorized sharing
        • Monitoring data movement across systems (M365, endpoints, cloud apps)
        • Integration with classification labels​​​​​​​
    3. Information Security and Data Responsibilities Policy
      • This policy defines institutional responsibilities for protecting data, including:
        • Acceptable use of data
        • Access control requirements
        • Data handling and sharing expectations
        • Security responsibilities for users, stewards, and administrators
      • It establishes that data protection is a shared responsibility across the institution.
    4. Key Governance Capabilities at USD
      • ​​​​​​​USD has operationalized several governance and security capabilities:​​​​​​​
        • Data classification and labeling (Microsoft Purview)
        • Enterprise DLP enforcement
        • Identity-based access control (Entra ID / Conditional Access)
        • Security monitoring (Microsoft Sentinel, Defender, MDR)
        • Data stewardship coordination
        • Policy-driven governance aligned with SDBOR initiatives
  5. ​​​​​​​​​​​​​​​​​​​​​Relationship to SDBOR Data Governance
    • ​​​​​​​USD actively participates in the South Dakota Board of Regents (SDBOR) Data Governance initiative, which establishes:​​​​​​​
      • Systemwide data standards and policies
      • Shared governance frameworks (RAPID/RACI)
      • Coordinated stewardship and compliance models
    • ​​​​​​​USD’s governance program is designed to:​​​​​​​
      • Align with systemwide standards
      • Maintain institutional operational authority
      • Enable consistent and secure data use across campuses
  6. ​​​​​​​​​​​​​​Data Governance Operating Model
    • Below is a high-level view of USD’s data governance structure:

 

Summary
  • USD’s Data Governance Program provides a structured, policy-driven, and security-integrated approach to managing institutional data. By combining:
    • Clear governance roles
    • Strong policy foundations
    • Integrated security controls
    • Alignment with systemwide initiatives
  • USD ensures that data remains a trusted, protected, and strategically leveraged asset.

Details

Details

Article ID: 10177
Created
Wed 3/18/26 9:09 PM
Modified
Tue 3/24/26 8:35 AM
KCS Article Status
WIP: Only Problem & some Environment captured
Not Validated: Complete & Resolution captured, confidence lacks in structure, content, no feedback
Validated: Complete & reusable, used by licensed KCS user, confidence in resolution & std. compliance
Validated

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