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Purpose

Following from a recommendation for a Project 50 Forward initiative, Stony Brook held its first Data Governance council meeting in 2016.
Data Governance establishes and fosters an environment to facilitate the development of data infrastructures, data management policies and standards to advance the institutional goals of Stony Brook University.

PrinciplesPrinciples of Data Governance:  organization effectiveness, transparency, communication, compliance, integrity, auditability, accountability, and standards.Please see under the Structure & Standards Tab the Data Governance Framework for the full breakdown and explanation of all the principles.

Values

Shared Assets
Data and information are shared organizational resources that constitute valuable assets.

Stewardship
Employees of Stony Brook University have a responsibility for the curation of data. They serve as caretakers of data to ensure data are collected, stored, and maintained under the premise that others will access and use them over time.

Quality
To ensure data retain value, quality of data is actively monitored and maintained.

Privacy and Confidentiality
Maintenance of individual privacy and confidentiality of educational and personal records represent not only legal requirements but also primary outcomes of data management.