Program Phases

Implementing a mature data governance structure is a long-term process that unfolds in waves or phases. Progress is iterative, with each successive phase shaped by Dartmouth-specific priorities and lessons learned from prior phases. Data Governance principles will initially be applied to a defined in-scope dataset. Program initiatives and results are reviewed regularly at Steering Committee meetings, where feedback is provided.

Program Timeline

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We are about to enter Phase 3 of the Program.

Phase 1 (2021-2023)

Phase 1 of the Data Governance implementation focused on establishing foundational structures that underpin Data Governance practices across the university.

  • Defined the business case for Data Governance, documenting key use cases that illustrate its benefits
  • Established the Program's Mission Statement, Guiding Principles, and Key Objectives, setting the strategic direction for the initiative
  • Secured Executive Sponsorship and established the stakeholder structure, including the Sponsorship Group and Working Group
  • Defined and organized Data Governance priorities into a three-phase roadmap
  • Created the Data Governance website
  • Worked with colleagues from across the university to inventory over 125 source systems
  • Identified 62 Data Stewards and 75 Data Custodians supporting the source systems
  • Formalized the Data Sharing Principles and Guidelines, articulating an institutional framework for appropriate use of Dartmouth's institutional data assets
  • Drafted standards for receiving and responding to requests for institutional data
  • Secured funding for part-time project management support with a plan to phase into a full-time position supporting the Program

Phase 2 (2024-2026)

Phase 2 of the Data Governance Program focused on institutionalizing governance frameworks and defining standards for the management and protection of institutional data.

  • Onboarded a full-time staff member to support the Program
  • Identified Dartmouth policies related to Data Governance in the Policy Portal
  • Established the Guidelines for Handling Higher Risk Data, providing criteria for recognizing and securely managing higher-risk data
  • Formalized the Requests for Student Data for Projects Involving Dartmouth Researchers policy, articulating institutional requirements for individual-level student data
  • Developed and delivered two new training courses: Introduction to Data Governance and Data Stewardship at Dartmouth, reaching over 80 Data Stewards and Data Custodians through live sessions
  • Transitioned from the Sponsorship Group to a formal Steering Committee with decision-making authority
  • Expanded Data Governance roles to include additional stakeholders
  • Developed and piloted a centralized Data Request form and workflow
  • Collaborated with stakeholders to draft request-specific Data Use Agreements
  • Partnered with Research Computing to make Granite available as a secure platform for delivering and storing sensitive data requested through Data Governance
  • Enhanced the Data Request review process by including an Information Security review of data use and storage environments prior to releasing data to requestors

Phase 3 and Beyond (2026 – current)

Phase 3 focuses on strengthening stakeholder partnerships and the integration of Data Governance principles, standards, and priorities across Dartmouth.

  • Formally launch a centralized Data Request form and workflow
  • Assess data needs in the context of AI and an evolving data landscape, and recommend infrastructure improvements to address them
  • Develop and deploy a shared business glossary and data dictionary for consistency and efficiency
  • Implement a routine training schedule and material
  • Facilitate the shift to Data Governance-led decision making and standardization
    • Refine Program structures and standards to maximize efficacy and minimize burden
    • Identify ongoing and additional Data Governance-related institutional priorities
    • Develop a data systems roadmap for an optimal ERP implementation that supports both core transactional requirements and data aggregation for reporting and business intelligence