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<p>For data science enthusiasts: Find resources, training, tools, and communities.</p>
 
<p>For data science enthusiasts: Find resources, training, tools, and communities.</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
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<h3 style="text-decoration:none;">[https://www.statcan.gc.ca/eng/data-science/network/automated-systems Responsible use of automated decision systems in the federal government]</h3>
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<p class="author">by Benoit Deshaies, Treasury Board of Canada Secretariat, and Dawn Hall, Treasury Board of Canada Secretariat</p>
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<p>Data scientists play an important role in assessing data quality and building models to support automated decision systems. An understanding of when the Directive on Automated Decision-Making applies and how to meet its requirements can support the ethical and responsible use of these systems. In particular, the explanation requirement and the guidance (Guidance on Service and Digital, section 4.5.3.) from the Treasury Board of Canada Secretariat (TBS) on model selection are of high relevance to data scientists.</p>
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<p class="recco">Recommended by the Office of the CIO of Canada, Treasury Board of Canada Secretariat, a GC Data Community partner</p>
    
<h3 style="text-decoration:none;">[https://ec.europa.eu/isa2/eif_en The New European Interoperability Framework]</h3>
 
<h3 style="text-decoration:none;">[https://ec.europa.eu/isa2/eif_en The New European Interoperability Framework]</h3>
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<p class="recco">Recommended by the Office of the CIO of Canada, Treasury Board of Canada Secretariat, a GC Data Community partner</p>
 
<p class="recco">Recommended by the Office of the CIO of Canada, Treasury Board of Canada Secretariat, a GC Data Community partner</p>
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<h3 style="text-decoration:none;">[https://www.statcan.gc.ca/eng/data-science/network/automated-systems Responsible use of automated decision systems in the federal government]</h3>
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<h3 style="text-decoration:none;">[https://www.stateofopendata.od4d.net/State of Open Data]</h3>
<p class="author">by Benoit Deshaies, Treasury Board of Canada Secretariat, and Dawn Hall, Treasury Board of Canada Secretariat</p>
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<p class="author">by Open Data for Development</p>
<p>Data scientists play an important role in assessing data quality and building models to support automated decision systems. An understanding of when the Directive on Automated Decision-Making applies and how to meet its requirements can support the ethical and responsible use of these systems. In particular, the explanation requirement and the guidance (Guidance on Service and Digital, section 4.5.3.) from the Treasury Board of Canada Secretariat (TBS) on model selection are of high relevance to data scientists.</p>
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<p>It’s been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain.</p>
 
<p class="recco">Recommended by the Office of the CIO of Canada, Treasury Board of Canada Secretariat, a GC Data Community partner</p>
 
<p class="recco">Recommended by the Office of the CIO of Canada, Treasury Board of Canada Secretariat, a GC Data Community partner</p>
  
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