At the heart of the mission as a higher education institution is trust — trust from students, faculty, staff, alumni, and research partners. That trust depends on how responsibly personal information is handled. One of the most effective ways to protect privacy while supporting academic and operational excellence is through data minimization.
Data minimization means intentionally limiting the personal data collected, used, stored and shared to what is directly relevant and necessary to fulfill a legitimate institutional purpose. Rather than asking, “What data could we collect?”, instead ask, “What data do we truly need — and for how long?”
Why data minimization matters
In a university environment, vast and diverse data sets are managed — student records, employee information, learning analytics, research data, health information and digital activity logs. While this information supports teaching, research and operations, unnecessary or excessive personal information collection increases risk without increasing value.
Practicing data minimization:
- Reduces privacy and security risk by limiting exposure in the event of a data breach or misuse.
- Supports regulatory and contractual obligations, including FERPA, HIPAA, GDPR (where applicable) and state privacy laws.
- Strengthens institutional trust by demonstrating respect for individual privacy and autonomy.
- Improves data quality and governance by focusing attention on accurate, relevant and purposeful information.
Simply put, the less sensitive personal information held without a clear need, the better positioned the university is to protect the community.
What data minimization looks like in practice
Data minimization is not about limiting innovation or academic freedom; it is about disciplined, intentional data practices. Across the institution, this means:
- Purpose-driven collection: Clearly defining why personal information is needed before collecting it, especially in surveys, digital tools, learning technologies and research support platforms.
- Least-necessary use: Ensuring access to personal information is limited to individuals and units with a legitimate role.
- Retention with intent: Keeping personal information only as long as required by policy, law or documented business need — and securely disposing of it when no longer needed.
- Third-party accountability: Evaluating vendors and partners to ensure they align with our data minimization and privacy expectations.
Everyone has a role
Data minimization is not solely an IT or compliance obligation — it is a shared institutional responsibility.
- Faculty and researchers should consider whether identifiable personal data elements are essential to their academic or research goals.
- Staff and administrators should review forms, systems and processes and work with data owners and stewards to determine what personal information can be kept and what could be redacted.
- Leadership should model privacy-conscious decision-making and support governance structures that embed minimization into procurement, system design and policy.
By integrating data minimization into everyday decisions, everyone strengthens both privacy and operational resilience.
Moving forward
The commitment to data minimization reflects broader values: stewardship, accountability and respect for the individuals who entrust WSU with their information. As technologies evolve and data use becomes more complex, minimizing what is collected and retained is one of the most practical and impactful ways to uphold privacy.
Together, by collecting less, managing smarter and retaining only what is necessary, everyone protects the community and reinforce trust in the institution today and for the future.
For more information and resources on data minimization as it relates to privacy, visit WSU Privacy Website Information – Home. For more information on how to contact the Privacy Office or report a privacy concern, check out the Privacy Office website.
