Axe ’Em, Jacks!
This page is your guide to understanding the standards and protocols that govern SFA’s data management. Data standards are designed to ensure consistency, accuracy and reliability across all data-related activities.
The data standards team establishes the University Guidelines for Data Standards, Data Integrity and Security related to the administrative software system. Specifically, these guidelines create measures for the protection, access and use of SFA data that is electronically maintained in Banner. The guidelines define responsibilities of users who input and access Banner data. Divisions or units may have individual guidelines that supplement, but do not replace or supersede, these guidelines.
A data standards team comprised of each data management area will conduct a thorough review of these guidelines at least every three years. Additionally, this team will consider any updates needed as policies and requirements change. If edits are deemed appropriate by a majority of data standards, the guidelines and standards modifications will be documented and implemented in an updated version.
Current guidelines for data standards, data integrity and data security may be accessed on the Banner launch page.
Members
- Karyn Hall — Team Lead, Office of Strategic Analytics and Institutional Research
- Sherry Bradford — Office of Admissions
- Michelle Brazeil — Student Business Services
- Morgan Cortines — Office of Strategic Analytics and Institutional Research
- Mickey Diez — Student Records
- Tracey Foster — Information Technology Services
- Brittney Goad — Procurement and Business Services
- Michaelyn Greene — Student Business Services
- Kay Johnson — Division of Finance and Administration
- Lashanda Parkhurst — Office of Financial Aid and Scholarships
- John Wyatt — Human Resources
Generative Artificial Intelligence
SFA acknowledges the potential benefits of generative artificial intelligence in various contexts. Users of generative AI must comply with all relevant federal, state and university regulations and ethical standards. Students should consult their course syllabus and assignment guidelines for specific instructions on using generative AI in their academic work.
The University of Texas System’s statement on artificial intelligence use:
Requirement 165.1.5.4.6 - Limit the use of data used in artificial intelligence systems using protections that are commensurate with the classification/sensitivity of the data as defined by the UT institutions. Published data may be used freely in association with artificial intelligence systems. Controlled information must be limited to use in artificial intelligence systems where access is restricted to authorized personnel only. Confidential information must be limited to use in artificial intelligence systems with heightened security measures and documented approval from the Institutional Information Security Officer or their designee. UTS 165 Standards (mySFA credentials required)