Data · dataset · 2023
Impacts of COVID-19 on Canadians - Experiences of Discrimination, 2020: Crowdsource file
Listed in Borealis
The data collection series Crowdsourcing: Impacts of COVID-19 on Canadians is designed to assess the quality and viability of a more timely collection model using willing participants and web-only collection.
Description
The Crowdsourcing: Impacts of COVID-19 on Canadians - Experiences with discrimination is the seventh iteration in the continuing series of crowdsourcing cycles. The overall goal of the crowdsourcing initiative is to invite all members of the Canadian population to participate in a data collection exercise on a voluntary basis.
The main topic of this seventh crowdsourcing was to evaluate how the COVID-19 pandemic impacted confidence and trust in various institutions, general public, and neighbours, and to determine if experiences with discrimination before and during the pandemic has disproportionally impacted certain groups more than others. In the context of this product, the term crowdsourcing refers to the process of collecting information via an online questionnaire.
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Open advertising was used to obtain participants who chose to self-select by completing the questionnaire. As such, the crowdsourcing data was collected through a completely non-probabilistic approach which does not involve a random selection of respondents like other traditional Statistics Canada surveys. Therefore, results pertain only to the participants and cannot be used to draw conclusions about the larger population of individuals in Canada who live with a long-term condition or disability.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP3%2FNIOE4A ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp3/nioe4a ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP3%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Social Sciences
- From keywords
- Medicine & Health · Social Science
- Inferred from text
- Epidemiology 71%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP3/NIOE4A | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4202 | enrichment · borealisdata ca | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| concepts[field].dataverse_subject:social-sciences | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |