Data Governance Committees

PRIMARY RESPONSIBILITIES

• Ensure the ethical and responsible use of Purdue University data.
  • Ensure data does not enter 3rd party AI tools without appropriate legal agreements.
  • Ensure any AI tool going to production follows Purdue’s AI Guiding Principles.
• Provide recommendations on policy changes regarding the use of AI at Purdue.
• Consider potential reputational harm from the implementation of Purdue-facing AI tools.

ONE-YEAR GOALS

• Protect Project Timelines: Expedited review requests are handled promptly to ensure that vote delays never stand in the way of approved projects moving forward on schedule.
• Maintain Consistent Quorum: All votes are conducted with the required quorum in place, ensuring that decisions reflect the full participation and collective voice of the committee.
• Address Untimely Voting: A clear policy governs situations where votes are not cast within the designated timeframe, providing accountability and preventing unnecessary delays in the review process.

See AI Governance & Review for detailed information on Purdue’s responsible AI practices and the Data Ethics Committee’s use‑case review process.

PRIMARY RESPONSIBILITIES

• Review and revise data handling policies, standards, and guidelines.
• Coordinate data-related Web Certification processes.
• Collaborate with information owners and as necessary, privacy and security officers, to ensure appropriate data access and sharing authorization and review processes are in place.

ONE-YEAR GOALS

• Publish data security and privacy training (e.g., Enterprise or PCI Webcerts) compliance reporting guidelines to provide a way for Purdue faculty, staff, and students to maintain compliance with the various regulatory and security compliance requirements.
• Provide review and feedback for data security and privacy-related policy (i.e., policy, standards, procedures, and guidelines) changes.
• Establish training for Data Stewards with recorded meeting topics that include data security and privacy-related compliance program and regulatory changes.

PRIMARY RESPONSIBILITIES

• Document best practices and recommendations for:
  • Creation and updating content
  • Review and evaluation of new software features
  • Review of current quality tracking processes including risk assessment, issue resolution
• Identify market segments / personas (user profiles)
• Determine a common lexicon that describes our data environment. What does it mean to be standard content, official, native reporting, warehoused?
• Represent needs of end users (operational decision-makers, executives)
  • Ensure information is consistently available, accessible to support business needs
  • Create avenues to request assistance, report data issues, access community resources

ONE-YEAR GOALS

• Evaluate current BI tools and create an Executive Summary of Reporting Tools & Training and Best Practices.
• Review public content for compliance with marketing and communication standards and review and revise best practice document and share new developments.
• Review and/or propose a process document for authors for managing governance of standard and departmental content. Ensuring consumers can find the content they need. 

Primary Responsibilities

• Create a communication framework and templates in conjunction with each data governance committee. Each committee will share updates on standards, processes, procedures successes, goals. 
• Provide change management guidance/expertise to other data governance committees.
• Establish training and communication standards, best practices, and processes.

One-Year Goals

• Finalize and implement end-user and developer training roadmaps. Partner with HR’s Organization Effectiveness team for the integration of completed training content from multiple functional areas into the LMS. Promote additional LMS functionality for training and data literacy. Leverage LMS for strategic purposes such as succession planning and career planning.
• Identify and prepare an inventory of content owners and departmental resources required to sustain and support the strategic training framework roadmap.
• Write a communication plan for distribution of data training for staff.
• Develop a centralized Data@Purdue communications proposal that consolidates all data-related updates into one channel for the university’s data community. The plan will identify a centralized communication strategy with standardized channels and cadence.