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Overview
As computing services and systems have
expanded throughout the University, so has the need for protection of
the data used in teaching, administration and research expanded. The
university depends heavily on the accuracy, integrity and usability of
its data, and it is essential that all data be maintained in an
appropriate security environment.
The Data Classification Standard:
- applies to all data created and maintained by all campuses,
except where superseded by grant or other contract or by federal
copyright law;
- applies to all authorized users of the University’s computing
resources;
- complies with applicable federal and state laws which govern the
privacy and confidentiality of data.
Classifying Data
All institutional data must be categorized into one
of the three levels outlined below.
Generally speaking,
- public data (Category III below) can be seen
by anyone, but it requires protection against unauthorized
modification.
- Category II data are sensitive, i.e., only
authorized individuals may see or modify the information. Custom
access control procedures are required. Improper disclosure may
result in harm to the organization or to individuals.
- Category I requires more care than sensitive
data. Improper disclosure may result in significant legal or
financial harm.
Definitions
To classify your data, be sure you understand these classifications.
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Category I
High level of sensitivity |
Category II
Moderate level of sensitivity |
Category III
Low level of sensitivity |
Legal Requirements |
Protection of data is required by law,*
reduces liability and negative publicity |
Protection of data will prevent poor
business decisions, inaccurate research conclusions, potential
liability, and moderate negative publicity |
Protection of data will avoid negative
publicity |
Risk |
Long-term loss of reputation
Long-term loss of research funding
Long-term loss of critical campus or
departmental services
Unauthorized tampering of research
data |
Short-term loss of reputation
Short-term loss of research funding
Short-term loss of departmental
services
Unauthorized tampering of research
data |
Loss of data with no impact to the
university
Inaccurate general information |
Data examples |
Health related research
Personnel information
Financial data
Credit cards
Social Security Numbers
Official transcripts
HR records |
Project data
HR data that is not sensitive
Research data or results that are not
sensitive
Business transactions that are not
sensitive |
Institutionally published public data
Academic course descriptions
Directory information |
* Examples are non-directory information protected
by FERPA or Gramm-Leach-Bliley, donor data, employee data, and
University data that are not otherwise protected by statute, but which
must be protected due to contractual agreements requiring
confidentiality, such as Non Disclosure Agreements.
Some of your data will fit easily into the
categories listed above.If you have doubts about the classification,
please give your data ratings based on the confidentiality, integrity
and availability requirements (CIA) outlined below.
For systems containing mixed categories of data,
base your classification on the most confidential data stored in
the system.Even if the system stores data that could be made available
in response to an open records request or information that is public,
the entire system must be protected as appropriate for its most
confidential data.
Confidentiality – What are the consequences if the
data are exposed, copied or deleted? Is there a legal
requirement to restrict access?If the need for confidentiality is
high, the data should be classified as Category I, and protection should
include limited access, encryption and monitoring.
Integrity – Is accuracy of the data critical? Do
operations, research or similar actions depend on the reliability and accuracy
of the data?If the need for integrity is high, the data should be classified as
Category I.
Availability – Is the data needed in critical
operations?Would temporary loss of the data cause serious processing delays?If
so, the data is to be classified as Category I.
In all cases if the evaluation finds that the data
are of medium sensitivity, need medium levels of integrity and/or
availability, they should be assigned a Category II designation.
All other data (not category I or II) will fall
into the third Category.
If you are creating a new system that has Category
I data, you should inform the Office of Information Technology, so that
plans can be developed for its protection.
Examples
- Social Security Numbers: Category I data
- Protected from disclosure through BPM 53 of the
University of Texas System, should not be collected except when required
by law.
- Confidentiality is
required
- Need for Integrity is high
- Need for availability is limited (should not be available for most purposes)
- Blogs: Category III data
- Blogs are open documents, to be shared with the
public.Their contents may be subject to change without serious
implications for the hosting individual or department.They are not
necessary to the ongoing mission of the University and can, therefore,
be removed or taken offline temporarily without serious
consequence.
- Confidentiality is low
- Need for Integrity is low
- Need for Availability is low
- Digital Research Data: Category I
- Generally speaking research data requires the
highest level of security, because of the need for integrity and
originality.There may be cases in which the research is not intended
for publication or of a special nature that permits a classification of
Category II.
- The University still recommends that all research
be protected as though it belongs to Category I.
- Confidentiality is high
- Need for Integrity is high
- Need for Availability is medium
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