Cchsflow
An open science approach to transform and combine population health surveys
Bibliographic Data
| ID | 8897922 |
|---|---|
| Authors | Warsame Yusuf (0000-0001-5571-8122, Ottawa Hospital, corresponding author), Rostyslav Vyuha (0000-0002-6700-0991, Ottawa Hospital Research Institute), Carol Bennett (0000-0002-3033-9860, Ottawa Hospital Research Institute), Yulric Sequeira (0000-0001-7456-6427, Ottawa Hospital Research Institute), Courtney Maskerine (Ottawa Hospital Research Institute), Douglas G Manuel (0000-0003-0912-0845, Ottawa Hospital Research Institute) |
| Year | 2021 |
| Volume | 112 |
| Issue | 4 |
| Pages | 714-721 |
| Publication date | 2021-03-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Canadian Journal of Public Health (JOURNAL) |
| Journal identifiers | ISSN: 0008-4263 • E-ISSN: 1920-7476 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.17269/s41997-020-00470-8 |
| PMID | 33761108 |
| OpenAlex | W3137190496 |
| Language | EN |
| References cited | 16 |
The cchsflow package has been added to the Comprehensive R Archive Network (CRAN) and contains support for over 160 CCHS variables, generating a combined data set of over 1 million respondents. By implementing open science practices, cchsflow aims to minimize the amount of time needed to clean and prepare data for the many CCHS users across Canada
Community health · Data science · Data set · Environmental health · Population · Public health · Set (abstract data type · Statistics · Survey data collection · Transparency (behavior · Artificial Intelligence · Computer Science · Health disparities and outcomes · Health Policy Implementation Science · Mathematics · Medicine · Public Health Policies and Education
| Citation velocity | historical |
|---|---|
| Highly cited | No |