The Data classification framework is currently in draft format and undergoing reviews. Your feedback and comments are appreciated and can be sent to infosec@chapman.edu.
»Data Risk Classification
Chapman is working on classifying our information assets into risk-based categories to assist our community with understanding how to identify and manage data, to protect against unauthorized access.
End-user Self Assessment
End-user self assessment is key.
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Purpose
- Defines the Risk Framework for classifying Chapman data which is a combination of:
- Regulatory requirements - PII, FERPA, HIPPA, PCI, FISMA etc.
- Impact to the University mission, safety, finances or reputation
- Easy for end-user to self-assess data risk and determine appropriate technical resources to use
- Allow for advance planning for working with research projects and cloud providers
Your Steps to Take
- Self-assess using the Framework
- Use appropriate IS&T service
- Contact either Legal or IS&T department for more detail
Data Risk Classifications at Chapman University
Familiarize yourself with the definitions of low, moderate and high risk in the tabs below:
- LOW Risk - Public
- MODERATE Risk
- HIGH Risk
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- The data is intended for public disclosure
- The loss of confidentiality, integrity, or availability of the data or system would
have no adverse impact on our mission, safety, finances or reputation. Examples:
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Published Research data (at data owner's discretion)
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Information authorized to be available on or through Chapman's website without Chapman ID authentication
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Policy and procedure manuals designated by the owner as public
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Job postings
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Information in the public domain
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Publicly available campus maps
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- The data is not generally available to the public
- The loss of confidentiality, integrity or availability of the data or system could
have a mildly adverse impact on our mission, safety, finances or reputation.
Examples:-
Unpublished research data (at data owner's discretion)
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Student records and admission applications
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Faculty/staff employment applications, personnel files, benefits, salary, personal contact information
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Non-public Chapman policies and policy manuals
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Non-public contracts
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Chapman internal memos and email, non-public reports, budgets, plans, financial info
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University and employee ID numbers
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Engineering, design, and operational information regarding Chapman infrastructure
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- Protection of the data is required by law/regulation
- Chapman is required to self-report to the government and/or provide notice to the individual if the data is inappropriately accessed
- The loss of confidentiality, integrity, or availability of the data or system could
have a significant adverse impact on our mission, safety, finances, or reputation.
Examples:- Health Information, including Protected Health Information
- Health Insurance policy ID numbers
- Social Security Numbers
- Credit card numbers
- Financial account numbers
- Export controlled information under U.S. laws
- Driver's license numbers
- Passport and visa numbers
- Donor contact information and non-public gift information
- Information required to be kept confidential by a Non-Disclosure Agreement or terms of a contract
Certified Use of Chapman Software Products
See products listed in the chart below for a definition of their certified for use for various levels of sensitive data.
PRODUCT | HIGH RISK DATA | MODERATE RISK DATA | LOW RISK DATA |
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Dropbox | NO | ![]() |
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OneDrive* | ![]() |
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Google Drive | NO | ![]() |
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Network Share | ![]() |
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CrashPlan | ![]() |
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- When reviewed and approved by IS&T. Contact infosec@chapman.edu for assistance.
- To see the list of approved AI software and their data classification, please visit the AI Hub.