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GC Enterprise Architecture/Standards/Information Architecture

< GC Enterprise Architecture‎ | Standards
GC Enterprise Architecture GC Enterprise Architecture Review Board, GC EARB
GC Service & Digital Target Enterprise Architecture When to come
Enterprise Architecture Framework Forward Agenda
Business Capability Model (BCM) Past Sessions
Exemplar and Reference Architectures 10 Things You Need to Know
Enterprise Solutions Governance for Digital Solutions
Working Groups EA and GC EARB Overview – Presentation
Other References

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<<Business Architecture

Application Architecture>>


2. Information Architecture


This is a definition for GC Information Enterprise Architecture

Data Collection

  • Ensure data is collected in a manner that maximizes use and availability of data
  • Ensure data collected aligns to existing enterprise and international standards
  • Where enterprise or international standards don't exist, develop Standards in the open with key subject matter experts
  • Ensure collection of data yields high quality data as per data quality guidelines
  • Ensure data is collected through ethical practices supporting appropriate citizen and business-centric use
  • Data should only be purchased once and should align with international standards
  • Where necessary, ensure collaboration with department/agency data stewards/custodians, other levels of government and indigenous people

Data Management

  • Demonstrate alignment with enterprise and departmental data governance and strategies
  • Ensure accountability for data roles and responsibilities
  • Design to maximize data use and availability
  • Design data resiliency in accordance with GC policies and standards
  • Use Master Data Management to provide a single point of reference for appropriate stakeholders

Data Storage

  • Ensure data is stored in a secure manner in accordance with the National Cyber Security Strategy and the Privacy Act
  • Follow existing retention and disposition schedules
  • Ensure data is stored in a way to facilitate easy data discoverability, accessibility and interoperability

Data Sharing

  • Data should be shared openly by default as per the Directive on Open Government
  • Ensure government-held data can be combined with data from other sources enabling interoperability and interpretability through for internal and external use
  • Reduce the collection of redundant data
  • Reduce existing data where possible
  • Encourage data sharing and collaboration


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