Difference between revisions of "Data Strategy for the Federal Public Service - Annexes"

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<nowiki>*</nowiki>The following page and its definitions are currently in development and subject to change.
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== Glossary of Terms ==
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<nowiki>*</nowiki>The following page is currently in development and subject to change.
  
 
# '''Data flow''': The circulation or movement of computerised data and information through interoperable systems and across organisations or geopolitical regions.<ref>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</ref>
 
# '''Data flow''': The circulation or movement of computerised data and information through interoperable systems and across organisations or geopolitical regions.<ref>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</ref>
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#* '''I''' - Interoperable and more easily interpretable
 
#* '''I''' - Interoperable and more easily interpretable
 
#* '''R''' - Re-usable data that is easy to share and use<ref>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</ref>.
 
#* '''R''' - Re-usable data that is easy to share and use<ref>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</ref>.
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== Domain-Specific Strategies ==
 
<references />
 
<references />

Revision as of 15:00, 26 January 2023


Glossary of Terms

*The following page is currently in development and subject to change.

  1. Data flow: The circulation or movement of computerised data and information through interoperable systems and across organisations or geopolitical regions.[1]
  2. 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

  1. 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
  2. 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