2021 Data Conference

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Conférence sur les données 2021

2021 Data Conference : An Integrated Data Community For Building Back Better


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Agenda/Programme Complet

English / anglais

French / français

Speaker Biographies/Conférenciers

French / français

English / anglais

Les 18 et 19 février 2021, On February 18 and 19, 2021, join the Canada School of Public Service and Immigration, Refugees and Citizenship Canada as they co-host the fifth annual Government of Canada Data Conference. The theme of this year's conference is "An Integrated Data Community to Build Back Better". It is in keeping with the Government of Canada's priority for recovery and its commitment to bring about positive systemic change through quality data in collaboration with key stakeholders from civil society, academia and different levels of government.

For the first time, , participants will be able to collaborate virtually on content ranging from innovation to data literacy, governance and learning. Building on the success of previous years, the Data 2021 Conference will help build the capacity and skills of data users and data specialists to effectively perform their data management, analysis and processing functions.


Following the main conference, , the Data Literacy Festival will take place on February 22-23. Interactive workshops will be offered to showcase projects and tools to increase the data literacy of public servants. For more information, and to 'register to join the GCollab Data Conference Group'... groupe GCcollab sur la Conférence des données '..

Voici L'ordre du jour en un coup d'œil

Inscription

Date et heure: Du 18 au 19 février 2021, de 11 h à 17 h (HE)
Date limite d'inscription : 17 février 2021, 10 h (ET)
Langue:
• Bilingue, avec interprétation dans les deux langues officielles
• Services de Traduction en temps réel des communications (TTRC)

Lieu: Événement virtuel. Un lien à la diffusion en direct sera fourni après l'inscription
Auditoire': Les fonctionnaires de tous les niveaux, plus particulièrement ceux qui travaillent dans des domaines liés aux données