Data Classification Standard

Data classification is the process of organizing data into information security categories to support data security handling requirements. 

Data classification, data privacy and protection standards at 色花堂 require that every employee takes appropriate measures to safeguard the confidentiality, integrity, availability and quality of data throughout its lifecycle, from creation to destruction. 

Classifications of Data

色花堂 categorizes data into three types to provide guidance on the proper handling of that data:

Level 1 - Public Data

Data intended for general public use. An example is information posted on 色花堂's website (www.towson.edu). 

Level 2 - Protected Data

Protected is the default classification of data at 色花堂. Protected data is considered private and intended for internal use only. It includes all data which are not legally restricted, and which may be accessed by university employees in the performance of official university business. Examples include FERPA data, non-restricted data, personally identifiable information (PII), third-party contracts and 色花堂ID numbers.

Level 3 - Confidential Data

Confidential data is sensitive information for highly restricted use that needs to be carefully protected from unauthorized access (data as defined under HIPAA, PCI or other federal law). Examples include sensitive personal information (SPI), sensitive FERPA data, background checks for employment, sensitive business-related information, highly restricted research data and intellectual property.  

Personally Identifiable Information (PII) 

色花堂 defines PII per Maryland Code under State Government Article 搂10-13A-01, is any information that, taken alone or in combination with other information, enables the identification of an individual. Examples Include: 

  • a full name 
  • geolocation data 
  • biometric information

Sensitive Personal Information (SPI) 

SPI expands the PII definition to include any information with a high risk of harm to an individual or 色花堂.  

色花堂 defines SPI, per Maryland Code under State Government Article 搂10-1301, as an individual鈥檚 first name or first initial and last name, personal mark, or unique biometric or genetic print or image, in combination with one or more of the following data elements: 

  • a social security number 
  • a driver鈥檚 license number, state identification card number, or other individual identification number issued by a unit 
  • a passport number or other identification number issued by the United States government. 
  • an individual taxpayer identification number 
  • a financial or other account number, a credit card number, or a debit card number that, in combination with any required security code, access code, or password, would permit access to an individual鈥檚 account 

Sensitive FERPA data is SPI, and/or data that may be considered harmful to an individual or 色花堂 in the event of unauthorized access such as cumulative grade point averages.

Acronyms

Support

Questions, comments or requests for exception to this standard should be directed to the Office of Technology Services (OTS) by submitting a service request. 

Related Resources

Release of Student Information Under FERPA
Data Use Standards