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Data Access Policy
• Data Usage Policy
• Data Integrity and Integration Policy
• Data and Application Control Policy
• Application User ID Policy

 Resources:
• DSTA 105–01: Release of Student Information

• Student Educational Records - FERPA

• Access to or Disclosure of ASU Personnel Records or Information

• ACD 811: Access to and Release of Official Personnel Records Information

• SPP 1101: Personnel Records

• ASU’s Privacy Statement

Data Integrity and Integration Policy

Purpose
The university will manage its data as an asset for the entire university community. This policy is intended to ensure that university data has a high degree of integrity and that key data elements can be integrated across electronic systems.

Source
Administrative Computing Advisory Committee, University Data and Access Business Area Improvement Group, and Data Administration.

Applicability
Adherence to this policy is mandatory for all university data generated through types A and B applications and is recommended for type C applications.

Background
University data are institutional assets and are held by the university to support its fundamental instructional, research, and public service missions. Innovative management is largely dependent on data that are freely available, correctly represent the information intended, and easily integrated across electronic systems. This policy is intended to assure that faculty, staff, and management of the university may rely on the data for information and decision support.

Keywords
University data (administrative data/information), enterprise data, data trustee, data integrity, data model, data dictionary (repository, encyclopedia), data element, data value, domain.

Policy
All university data will be represented within a single logical data model that will be the source for all physical data models. Data Administration is responsible for developing this model and corresponding data structures and domains. Further, documentation (metadata) on each data element will be maintained within a university repository according to specifications provided by the Office of Data Administration. These specifications will include, but are not limited to, acceptable values (or domains) for each element. Data Administration will ensure that the needs of all users of Enterprise Data are taken into consideration in the development and modification of data structures, domains, and values. It is the responsibility of each data trustee to ensure the correctness of the data values for the elements within their charge and to take timely corrective action when necessary. All employees are expected to bring data problems and suggestions for improvements to the appropriate data trustee or Data Administration.

Definitions

University Data-AKA Administrative Data/Information - Enterprise Data is the collection of data elements that are relevant to the operations, plans, or management of more than one ASU unit or are reported on or used in "official" administrative university reports.

Data Trustee - The individual identified by the office responsible for the collection and/or maintenance of the specified data element(s).

Data Integrity - The qualities of validity and reliability conjoined with the accuracy of values.

Data Model - A diagrammatic representation of the objects and their properties that are needed within an organization to accomplish its mission. Also frequently called an E/R Diagram.

Data Dictionary - A reference tool (in paper or electronic form) that provides a list of all the data elements and their alias names. A data dictionary usually contains a working definition of each element, the values that are allowed, location information, and additional metadata deemed important for an organization to maintain about its data assets.

Data Element - A single property or attribute of an object (entity). For example, name is a data element frequently associated with the entity person; course grade is an attribute associated with a student and a specific class.

Data Value - An instance of a data element. For example, John J. Jones is a name of a specific person.

Domain - The set (collection) of all possible data values for a specified data element. For example, M and F may be the domain for the data element Gender.

Repository - Information about the data in an organization's electronic systems. The repository is used to catalog the meta-data or to enable software development tools and operational systems to assess the meta-data. Data dictionaries are forerunners to repository.

TISC Administrative Application Types

1. Applications that collect and/or update university data.
2. Applications that use university data for "official" purposes outside of the local unit, but that do not collect and/or update university data.
3. All other applications: those that deal with data for local purposes only.

Approved by ITAC Executive Committee on 1/15/93
Approved by Information Technology Advisory Committee (ITAC) on 4/2/93
Approved by the Provost Office on 5/18/93

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