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The purpose of the program is to derive and promote a model policy for distributing geospatial data and other information developed and maintained at SCAG. program goals Make geographic information and data more accessible. Partner with local governments and public agencies on data standardization.
- Data & Tools
The purpose of the program is to derive and promote a model...
- Data Services & Requests
Accuracy of the data is a primary concern for SCAG’s data...
- Data & Tools
The purpose of the program is to derive and promote a model policy for distributing geospatial data and other information developed and maintained at SCAG. program goals Make geographic information and data more accessible. Partner with local governments and public agencies on data standardization.
Accuracy of the data is a primary concern for SCAG’s data services. SCAG also organizes and maintains datasets to help users efficiently interested parties to efficiently access and apply the data. scAG DATA SERVICES goals: Provide better access to data. Partner with local governments and public agencies on data standardization
The Canadian Data Governance Standardization Roadmap tackles the challenging questions we face when we talk about standardization and data governance. It describes the current and desired Canadian standardization landscape and makes 35 recommendations to address gaps and explore new areas where standards and conformity assessment are needed.
The Government of Canada data reference standards are a key priority within the 2023–2026 Data Strategy for the Federal Public Service. The reference standards below are mandatory for departments and agencies subject to the Policy on Service and Digital. Reference these data standards when designing a new system or dataset to create reliable ...
Jun 28, 2021 · “The Canadian Data Governance Standardization Roadmap tackles the challenging questions we face when we talk about data governance. Canada has the opportunity to take a leadership role in establishing clear and cohesive data governance standards that build a safer and more secure digital infrastructure founded on quality, trust and ethics.
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Dec 4, 2019 · Statistics Canada Quality Guidelines Guidelines for ensuring data quality. In the Canadian statistical system, data quality is defined by six quality dimensions: relevance, accuracy, timeliness, accessibility, interpretability, and coherence. The QAF, which describes strategies to aid and ensure effective quality management in all statistical ...
