Below are York's six data governance goals, which are directly related to York's data governance Vision, Mission, and nine data principles.
Goal #1: Eliminate Data Silos
Eliminate data silos and shadow databases by implementing an institutional data governance framework, fostering collaboration with community stakeholders, and making data more visible.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/Data-Stewardship.jpg)
Data Stewardship
Implement an institutional data governance framework and defined roles & responsibilities.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/Institutional-Data-Centre.jpg)
Institutional Data Centre
Launch a Data & Analytics Governance webpage and an institutional Data Hub to make data more visible.
Goal #2: Improve Quality, Increase Trust
Improve data quality to support decision-making and reduce rework by implementing a robust data quality process, Principal and Reference data, and data lineage.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/quality1.png)
Data Quality
Develop data quality processes, roles & responsibilities, and implement data quality tools.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/share.png)
Principal & Reference
Define authoritative sources of data, manage Principal data (e.g., person, organizational structure), and address gaps in Reference data (e.g., CIP, country codes).
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/track.png)
Data Lineage
Capture the flow of data from source through intermediary systems and data transformations to a final destination.
Goal #3: Enhance Data Intelligence
Enhance the value of York's data and related decision-making by increasing visibility over data assets and developing definitions of data elements.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/Data-System-Catalogue.jpg)
Data System Catalogue
Load select data systems leveraging information from the Application Portfolio to create relationships between definitions and data systems.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/Data-Dictionary.jpg)
Data Dictionary
Define terms through business and technical definitions and create relationships between terms.
Goal #4: Improve Data Literacy
Facilitate understanding of data, dashboards and reports for all staff through communities of interest, educational sessions and courses.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/multiple-users-silhouette.png)
Community of Engagement
Foster collaboration and knowledge-sharing through forums and communities of practice.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/teachings.png)
Curriculum & Courses
Conduct educational sessions and courses to build our community's knowledge base.
Goal #5: Streamline Secure Access to Data Assets
Ensure that every staff member has the data necessary to do their job through simplified, role-based access.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/Role-Based-Access.jpg)
Role-Based Access
Standardize and streamline roles & access, and define and implement role based access control methodology. Roles are dependent on accurate data classifications, technical definitions, and a well-populated data system catalogue.
Goal #6: Ensure Regulatory Compliance
Ensure regulatory compliance through policies and data classification.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/download.png)
Data Retention
Draft and enact policies around data retention.
![](https://www.yorku.ca/oipa/wp-content/uploads/sites/524/2021/11/contract2.png)
Data Collection & Use
Draft and enact policies around data collection and use.