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Discover more about data (view source)
Revision as of 10:36, 8 February 2022
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<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:Good-practice-principles-for-data-ethics-in-the-public-sector.png|150px|Good Practice Principles for Data Ethics in the Public Sector]]
<h3 style="text-decoration:none;">[https://www.oecd.org/gov/digital-government/good-practice-principles-for-data-ethics-in-the-public-sector.htm Good Practice Principles for Data Ethics in the Public Sector]</h3>
<p class="author">by the OECD Digital Government and Data Unit</p>
<p>Taking values-based common actions that place human rights at the core of digital government and data policies. The Good Practice Principles for Data Ethics in the Public Sector support the ethical use of data in digital government projects, products, and services to ensure they are worthy of citizens' trust. The document introduces 10 Good Practice Principles for Data Ethics in the Public Sector, including a set of specific actions which can support their implementation.</p>
<p class="recco">Recommended by the Office of the CIO of Canada, Treasury Board of Canada Secretariat, a GC Data Community partner</p>
[[Image:Intro-to-hierarchical-bayesian-modeling-for-ecological-data.jpg|150px|Introduction to hierarchical Bayesian modeling for ecological data]]
[[Image:Intro-to-hierarchical-bayesian-modeling-for-ecological-data.jpg|150px|Introduction to hierarchical Bayesian modeling for ecological data]]
