Baylor University Data Classification Guide
| Data Classification |
Risk from
Disclosure |
Description |
Examples |
| Government Classified |
High |
Data owned and classified by the U.S. Federal government |
Government classified data (Confidential, Secret, Top Secret) |
| Restricted |
High |
Data for which an unauthorized disclosure is expected to have a severe or catastrophic effect on Baylor's operations, assets or individuals. |
Social Security Number
Credit Card Number**
Driver's License Number
Credential for University Systems
Electronic Protected Health Information
Bank Account number |
| Protected |
Moderate |
Data for which unauthorized release is expected to have a serious adverse effect on Baylor's operations, assets or individuals. |
Educational Records as defined by FERPA
Passport Data
University Intellectual Property
Human Resources data
Protected Data related to research (IRB)
University Financial Information
|
| Non-Public |
Low |
Data for which unauthorized disclosure is expected to have limited effect on Baylor's operations, assets or individuals. |
University ID number
BearID
Any university data not otherwise categorized
|
| Public |
None |
All public data |
General access data from the university website, press releases, and other public sources |
**Credit card numbers may not be stored electronically. For more information see http://www.baylor.edu/pci/index.php?id=73329
Special considerations - The classification table only provides general guidance on the minimum level of risk of for a data category. External regulations, contracts and/or use cases may increase the level of risk and thus categorization.
Data Descriptions adapted from FIPS PUB 199 -
http://csrc.nist.gov/publications/fips/fips199/FIPS-PUB-199-final.pdf