Institutional Data Classification Guidelines

Overview
Assessment Criteria
Classifying Institutional Data
Examples
Online Library Catalog
Faculty Grade Books
Student Records
Research Data
Professor's Blog
Conclusion

Overview

The Institutional Data Classification Guidelines are a tool provided to help Business Owners assess information systems to determine the sensitivity of the data within a system.  It is likely that institutional data will be distributed across processing units both within and outside of the university.  Institutional data supports the mission and operations of the University, and is considered essential.  Its proper classification and management must be ensured to comply with legal and administrative requirements.  The guidelines divide data into three categories:

All institutional data must be categorized into one of the three categories above.  Business Owners are responsible for categorizing their data appropriately.  Based on the data classification level determined, there will be different security practices required to protect the data. This protection can include encryption, access restrictions, access auditing and other security practices.  Use the following guidelines to determine which data category is appropriate.

Assessment Criteria

Consider the following examples and scenarios when classifying Institutional Data:

LEVEL I
Low Sensitivity
LEVEL II
Moderate level of sensitivity
LEVEL III
Highest level of sensitivity
Legal Requirements Protection of the data will avoid negative publicity and/or low to moderate embarrassment to the University Protection of data will prevent poor business decisions, inaccurate research conclusions, potential liability, and moderate to high negative publicity Protection of data is required by law (e.g. HIPAA, FERPA, GLBA data elements), reduces liability, severe negative  publicity, and loss of reputation of University
Risk Loss of personal data with no impact to the person or university

Inaccurate general information

Short-term loss of reputation

Short-term loss of reputation

Short-term loss of research funding

Increase in regulatory requirements

Short-term loss of dept. services

Unauthorized tampering of research data

Long-term loss of reputation

Long-term loss of research funding

Increase in regulatory requirements

Long-term loss of critical campus or dept. services

Unauthorized tampering of research data

Data Examples Published “white pages

Directory information

Academic course descriptions

Campus maps

Institutionally published public data

Project data

Human resources not including sensitive data

Research data or results that are not sensitive

Business  transactions that do not include sensitive data

Student grade books

Medical records

Health related research

Personnel info

Financial data

Credit cards

Social security numbers

Official transcripts

HR Records

Classifying Institutional Data

If you are uncertain as to how you should classify the data stored on or manipulated by your systems, please refer to the following matrix. The matrix shows the three criteria that are used to define the data category for a given system or set of data. The criteria are Confidentiality, Integrity, and Availability, defined as follows:


These criteria should be used to determine which data classification is appropriate. A positive response to the highest level in ANY row is sufficient to place the data into that respective classification. Use this chart to select the appropriate classification level for each of the following categories of confidentiality, integrity, and availability.


Data Classification Weighting
  LEVEL I
Low Sensitivity
LEVEL II
Moderate Sensitivity
LEVEL III
High Sensitivity
Need for Confidentiality Low
Optional
Public
Medium
Recommended
Non-Public or Internal
High
Required
Confidential/Restricted
  AND/OR AND/OR AND/OR
Need for Integrity Low Risk
Optional
Easily Reproducible
Medium Risk
Recommended
Internally Trusted
High Risk
Required
Official or Highly Trusted Data
  AND/OR AND/OR AND/OR
Need for Availability Low Impact
Optional
Informational or Non-Critical
Medium Impact
Recommended
Normal Services
High Impact
Required
Critical or Campus-wide service

Examples

This section illustrates how to classify some familiar data using the CIA (Confidentiality, Integrity, Availability) criteria.

Caveat: It should be noted that the ratings listed in the examples below are all based on the individual information asset. While it is important to identify and rate an asset on an individual basis, it is equally important to look at the other information assets that may be affected by a loss in confidentiality, integrity, or availability in the asset being rated.

Online Library Catalog:LEVEL II Data (Moderate Sensitivity)

The online library catalog has an optional (low) need for confidentiality since the catalog is public and we want students, faculty, staff and visitors to be able to use the library resources. The need for integrity is recommended (medium risk) because we do not want the catalog to be changed, whether by accident or maliciously.  The need for availability is recommended (medium impact) because there is no paper alternative and the University of Iowa probably wouldn’t experience a long-term loss of reputation and a long-term loss of research funding if the library catalog is unavailable for a short period of time.

Summary data classification of online library catalog:

Since at least one of the CIA conditions is recommended in this case both Integrity and Availability, the online library catalog is classified as LEVEL II data and should be protected appropriately.

Faculty Grade Books: LEVEL II Data (Moderate Sensitivity)

The grade books faculty maintain with student id’s and grades has a recommended (medium) need for confidentiality since only the official records, transcripts are highly sensitive.  The need for integrity is recommended (medium risk) because we do not want the grades to be changed, whether by accident or maliciously.  The need for availability is recommended (medium impact) because there is no paper alternative and the University of Iowa probably wouldn’t experience a long-term loss of reputation and a long-term loss of research funding if an individual faculty members grade book is unavailable for a short period of time.

Summary data classification of faculty student grades (grade books):

Since at least one of the CIA conditions is recommended in this case Confidentiality, Integrity and Availability, faculty grade books are classified as LEVEL II data and should be protected appropriately.

Student Records: LEVEL III Data (High Sensitivity)

The records faculty maintain about students with disciplinary issues or records containing social security numbers have a required need for confidentiality (high) since this information must never be publicly exposed due to federal laws like FERPA.  The need for integrity is recommended (medium risk) because we do not want these records to be changed, whether by accident or maliciously.  The need for availability is recommended (medium impact) because there is likely no paper alternative and the University of Iowa probably wouldn’t experience a long-term loss of reputation and a long-term loss of research funding if an individual faculty members student records were unavailable for a short period of time.

Summary data classification of faculty student grades (grade books):

Since at least one of the CIA conditions is required, in this case Confidentiality, student records are classified as LEVEL III data and should be protected appropriately.

Research Data: LEVEL III Data (High Sensitivity)

Sensitive research data is required to be confidential (high) due to various factors, including human subject data, intellectual property rights, large grant funding, etc.  Integrity of the research is required (high risk) because the data must be accurate and free from errors.  Availability is recommended (medium impact), because The University of Iowa is not necessarily in any danger or in violation of any law if the data is unavailable for a period of time.

Summary of sensitive research data:

Since at least one of the CIA conditions is required (high), in this case both Confidentiality and Integrity, research data is classified as LEVEL III data and should be protected appropriately.

Professor's Blog: LEVEL I Data (Low Sensitivity)

A blog is by its very nature designed to be shared with the world.  The confidentiality requirement is therefore optional (low).  If the contents of the blog are changed, there would be little to no impact on the ability of the department or the university to carry out their missions.  The need for integrity is therefore optional (low risk).  The need for availability is also optional (low impact) because, should the blog be taken offline for a period of time, the only primary people affected would be the readers of the blog.  The department and university should be able to carry on business as usual, while the blog was restored or recreated.

Summary of a professor's blog hosted on a departmental server:

Since at all of the CIA conditions are optional (low), a professor's blog hosted on a departmental server is classified as LEVEL I data and should be protected appropriately.

Conclusion

The confidentiality, integrity, and availability ratings are useful tools in assessing the risk to information assets for which you are responsible.  It helps create a better understanding of which assets are the most critical, as well as allowing you to prioritize and develop effective actions to protect the assets most at risk.  Remember, some institutional data, particularly LEVEL III (High Sensitivity) data, must be protected according to specific criteria outlined in the University’s Institutional Data Access Policy.

View the Data Handling Requirments in the Institutional Data Access Policy. This document describes the minimum requirements for protecting systems based on the type of data they hold.

Adapted from “Classification of Data”, with permission from Stanford University, Stanford, California 94305-4102.