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Line 116: − − [[Image:SCC_Data_Gov_Roadmap_EN_COVER.png |150px|Canadian Data Governance Standardization Collaborative Roadmap]] − <h3 style="text-decoration:none;">[https://www.scc.ca/en/about-scc/publications/general/canadian-data-governance-standardization-roadmap Canadian Data Governance Standardization Collaborative Roadmap (June 2021)]</h3> − <p class="author">by the Canadian Data Governance Standardization Collaborative</p> − <p>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.</p> − <p>SCC established the Canadian Data Governance Standardization Collaborative in 2019 to accelerate the development of industry-wide data governance standardization strategies. The Collaborative spent the past two years working together to build a standardization Roadmap. The Canadian Data Governance Standardization Collaborative is a group of 220 Canadians across government, industry, civil society, Indigenous organizations, academia, and standards development organizations.</p> − <p class="recco">Recommended by the [https://www.scc.ca/ Standards Council of Canada], friend of the GC Data Community</p> Line 123:
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Discover more about data (view source)
Revision as of 13:47, 6 February 2022
, 13:47, 6 February 2022no edit summary
<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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[[Image:SCC_Data_Gov_Roadmap_EN_COVER.png |150px|Canadian Data Governance Standardization Collaborative Roadmap]]
<h3 style="text-decoration:none;">[https://www.scc.ca/en/about-scc/publications/general/canadian-data-governance-standardization-roadmap Canadian Data Governance Standardization Collaborative Roadmap (June 2021)]</h3>
<p class="author">by the Canadian Data Governance Standardization Collaborative</p>
<p>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.</p>
<p>SCC established the Canadian Data Governance Standardization Collaborative in 2019 to accelerate the development of industry-wide data governance standardization strategies. The Collaborative spent the past two years working together to build a standardization Roadmap. The Canadian Data Governance Standardization Collaborative is a group of 220 Canadians across government, industry, civil society, Indigenous organizations, academia, and standards development organizations.</p>
<p class="recco">Recommended by the [https://www.scc.ca/ Standards Council of Canada], friend of the GC Data Community</p>
[[Image:Inro-to-data-analysis-with-R-for-Forensic-Scientists.jpg|150px|Introduction to data analysis with R for forensic scientists]]
[[Image:Inro-to-data-analysis-with-R-for-Forensic-Scientists.jpg|150px|Introduction to data analysis with R for forensic scientists]]
<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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[[Image:Data-Feminism-cover.jpg|150px|Data Feminism, by Catherine D'Ignazio and Lauren F. Klein]]
[[Image:Data-Feminism-cover.jpg|150px|Data Feminism, by Catherine D'Ignazio and Lauren F. Klein]]
<p>[https://mitpress.mit.edu/books/data-feminism <i>Data Feminism</i>] offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.</p>
<p>[https://mitpress.mit.edu/books/data-feminism <i>Data Feminism</i>] offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.</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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[[Image:Invisible-Women-cover.jpg|150px|Invisible Women: Data Bias in a World Designed for Men, by Caroline Criado Pérez]]
[[Image:Invisible-Women-cover.jpg|150px|Invisible Women: Data Bias in a World Designed for Men, by Caroline Criado Pérez]]
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<h2>Articles and blog posts</h2>
<h2>Articles and blog posts</h2>
<h3 style="text-decoration:none;">[https://www.statcan.gc.ca/en/data-science/network/data-visualizations Creating Compelling Data Visualizations]</h3>
<h3 style="text-decoration:none;">[https://www.statcan.gc.ca/en/data-science/network/data-visualizations Creating Compelling Data Visualizations]</h3>
