Difference between revisions of "Data for Impact Series/Promoting Data Ethics and Trust"
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<li><strong>Join the conversation on Slack: channel coming soon</strong></li> | <li><strong>Join the conversation on Slack: channel coming soon</strong></li> | ||
<ul> | <ul> | ||
| − | <li>[https://join.slack.com/t/gc-dc-2023-cd-gc/shared_invite/zt-1puhh7s9w-qw4FQNTJwKdIJSK_5omZgg | + | <li>To create a Slack account, [https://join.slack.com/t/gc-dc-2023-cd-gc/shared_invite/zt-1puhh7s9w-qw4FQNTJwKdIJSK_5omZgg click here], or [https://wiki.gccollab.ca/images/9/94/JoinSlackQR.png scan this QR code]. Enter your email address and follow the instructions to create an account.</li> |
| − | <li>[http://gc-dc-2023-cd-gc.slack.com/ | + | <li>If you already have a Slack account, [http://gc-dc-2023-cd-gc.slack.com/ click here to log in]. Enter the email address you used to sign up and follow the instructions to log in.</li> |
</ul> | </ul> | ||
<li><strong>[https://mailchi.mp/e0872fde637e/gc-data-community-mailing-list-sign-up-inscription-la-liste-de-diffusion-de-la-communaut-des-donnes-du-gc Subscribe to the GC Data Community monthly newsletter]</strong> to stay up to date with data-related news, announcements, and opportunities.</li> | <li><strong>[https://mailchi.mp/e0872fde637e/gc-data-community-mailing-list-sign-up-inscription-la-liste-de-diffusion-de-la-communaut-des-donnes-du-gc Subscribe to the GC Data Community monthly newsletter]</strong> to stay up to date with data-related news, announcements, and opportunities.</li> | ||
| + | </ul> | ||
| + | _____________ | ||
| + | <br> | ||
| + | <ul> | ||
| + | <li><strong>From Open Data Institute: [https://wiki.gccollab.ca/images/5/5b/ODI_Data_Ethics_Canvas_Resource_EN.pdf Data Ethics Canvas]</strong> (a framework to develop ethical guidance that suits any context, whatever the project’s size or scope.)</li> | ||
</ul> | </ul> | ||
<br> | <br> | ||
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<p class="jobtitle"><strong>Chief, Quality and Data Ethics Secretariat, Modern Statistical Methods and Data Science Branch, Statistics Canada</strong></p> | <p class="jobtitle"><strong>Chief, Quality and Data Ethics Secretariat, Modern Statistical Methods and Data Science Branch, Statistics Canada</strong></p> | ||
<p>Martin Beaulieu joined Statistics Canada in 2001, after graduating in statistics from Université Laval. After working as a methodologist mostly on economic statistics programs, including processing of tax data for economic surveys and the Consumer Price Index, Martin became Chief of the Quality Secretariat in 2019, which became the Quality and Data Ethics Secretariat in 2020. The mandate of this group two-fold: The Quality Secretariat ensures the production of relevant, high quality and ethically sourced data by supporting the development and implementation of policies and procedures that promote sound quality-management practices. The Data Ethics Secretariat conducts ethical reviews on new projects and new data acquisitions in accordance with the Necessity and Proportionality Framework. This framework has been developed to optimize privacy protection and the production of information when designing a data-gathering approach.</p> | <p>Martin Beaulieu joined Statistics Canada in 2001, after graduating in statistics from Université Laval. After working as a methodologist mostly on economic statistics programs, including processing of tax data for economic surveys and the Consumer Price Index, Martin became Chief of the Quality Secretariat in 2019, which became the Quality and Data Ethics Secretariat in 2020. The mandate of this group two-fold: The Quality Secretariat ensures the production of relevant, high quality and ethically sourced data by supporting the development and implementation of policies and procedures that promote sound quality-management practices. The Data Ethics Secretariat conducts ethical reviews on new projects and new data acquisitions in accordance with the Necessity and Proportionality Framework. This framework has been developed to optimize privacy protection and the production of information when designing a data-gathering approach.</p> | ||
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<p class="jobtitle"><strong>Principal Consultant, Open Data Institute</strong></p> | <p class="jobtitle"><strong>Principal Consultant, Open Data Institute</strong></p> | ||
<p>Bio coming soon.</p> | <p>Bio coming soon.</p> | ||
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<p class="jobtitle"><strong>Professor of Social and Political Geography, University of Birmingham</strong></p> | <p class="jobtitle"><strong>Professor of Social and Political Geography, University of Birmingham</strong></p> | ||
<p>Bio coming soon.</p> | <p>Bio coming soon.</p> | ||
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Revision as of 10:46, 25 May 2023
June 13, 2023 | 1:30 pm to 3:00 pm (ET)
Related links
- View the event description
- Join the conversation on Slack: channel coming soon
- To create a Slack account, click here, or scan this QR code. Enter your email address and follow the instructions to create an account.
- If you already have a Slack account, click here to log in. Enter the email address you used to sign up and follow the instructions to log in.
- Subscribe to the GC Data Community monthly newsletter to stay up to date with data-related news, announcements, and opportunities.
_____________
- From Open Data Institute: Data Ethics Canvas (a framework to develop ethical guidance that suits any context, whatever the project’s size or scope.)
Speakers
Martin Beaulieu
Chief, Quality and Data Ethics Secretariat, Modern Statistical Methods and Data Science Branch, Statistics Canada
Martin Beaulieu joined Statistics Canada in 2001, after graduating in statistics from Université Laval. After working as a methodologist mostly on economic statistics programs, including processing of tax data for economic surveys and the Consumer Price Index, Martin became Chief of the Quality Secretariat in 2019, which became the Quality and Data Ethics Secretariat in 2020. The mandate of this group two-fold: The Quality Secretariat ensures the production of relevant, high quality and ethically sourced data by supporting the development and implementation of policies and procedures that promote sound quality-management practices. The Data Ethics Secretariat conducts ethical reviews on new projects and new data acquisitions in accordance with the Necessity and Proportionality Framework. This framework has been developed to optimize privacy protection and the production of information when designing a data-gathering approach.
Josh D'Addario
Principal Consultant, Open Data Institute
Bio coming soon.
Jessica Pykett
Professor of Social and Political Geography, University of Birmingham
Bio coming soon.
Moderator
Emilie Eve Gravel
Senior Advisor, Ph.D., GC Data Community, Canada School of Public Service
Emilie Eve Gravel lives on the Traditional Unceded Territory of the Anishinaabeg peoples and serves as a Senior Advisor with the Data Community at the Canada School of Public Service. She is the founder and chair of the GC Research and Data Ethics Working Group, a community dedicated to help public servants gain the knowledge, skills, and mindsets they need to implement research and data ethics in their work. She has also taught research methods and ethics for the federal public service and at the undergraduate level at University of Ottawa. Her work with the Data Community involves fostering a thriving data culture by integrating human-centered approaches to data literacy and data talent. They previously worked as a behavioural scientist with Employment and Social Development Canada, where they conducted research on program and service modernization. They hold a Ph.D. in experimental psychology from the University of Ottawa with a focus on motivation, well-being, and culture.
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