Data Strategy for the Federal Public Service - Annexes
Revision as of 09:54, 20 February 2023 by Enterprisedatadonneesintegrees (talk | contribs) (→Domain-Specific Strategies)
The following page is currently in development and subject to change.
Glossary of Terms
- Data flow: The circulation or movement of computerised data and information through interoperable systems and across organisations or geopolitical regions.[1]
- FAIR Data Principles: Set of data principles, which define characteristics that modern data resources, tools, vocabularies and infrastructures should demonstrate to facilitate the discovery and reuse of data by other parties. FAIR stands for:
- F - Findable and easily searchable
- A - Accessible and easy to use
- I - Interoperable and more easily interpretable
- R - Re-usable data that is easy to share and use[2].
Domain-Specific Strategies
The following is an evergreen list of complementary strategies and will be updated over time as new strategies are developed.
Pan-Canadian Health Data Strategy - the strategy aims to support the effective creation, exchange, and use of health data for the benefit of Canadians and the public health systems they rely on. A collaborative approach to develop and deliver the strategy is being taken - federal/provincial/territorial co-development of the strategy is informed by the latest research findings, public health and data experts, and an Expert Advisory Group to provide guidance as the work evolves.
References
- ↑ Organisation for Economic Co-operation and Development (1985). Declaration on Transborder Data Flows. OECD: Better Policies for Better Lives. https://www.oecd.org/sti/ieconomy/declarationontransborderdataflows.htm
- ↑ Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data 3, 160018. https://www.nature.com/articles/sdata201618
