The UMS utilizes a four-tiered data classification system, outlined below (full details in the UMS Data Classification APL). Data users are responsible for being familiar with this classification system and making decisions that comply with the system’s guidance.

See also Data & Report Classification Guidance for more information.

Classification Levels & Examples

Publication Guidance

Stewardship Consultants

Restricted

  • FAFSA/ISIR Financial Aid data

  • HIPAA Health data

  • HR background checks

Restricted data has very specific requirements regarding all aspects of usage, and will not often be eligible for publication. Some restricted data points may be publishable in rare circumstances, and only in the aggregate. 

  • Data managers (if on staff)
  • Coordinators/liaisons of regulatory compliance (if named)
  • Department heads for data in question

Confidential

  • FERPA student data

  • University financial data

Confidential data points are never publishable individually but may be published in the aggregate without underlying identifiable information to various institutions, schools/colleges, and/or departments. Aggregated confidential data may also be published on public-facing university websites, as long as information included in the report has already been approved for public consumption. Publication guidelines (whether internal or external) are determined by a need-to-know correspondence between the data and the area (department, school/college, institution, public website, etc.)

  • Subject Matter Experts for data in question
  • Data handlers (data entry, data management, data extractors) for data in question
  • Department heads for data in question

Internal

  • Unpublished research

  • Meeting minutes

Internal data points may often be published within the institution, and often much more broadly than Confidential data points. Disaggregated Internal data are often shared more locally (e.g., within a department) than aggregated Internal data).

  • Subject Matter Experts for data in question
  • Data handlers (data entry, data management, data extractors) for data in question
  • Department heads for data in question

Public

  • Course catalogs

  • Student Directory information

Public data points may be shared, in the aggregate or disaggregated, both internally and externally. 

  • Administrative & coordinating staff of departments of data in question
  • Department heads for data in question




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