PopData or HDPBC stream?

Qualifying criteria for an HDPBC project

The data sets required (health, health services, social and demographic) are all available on the platform

Note: You may also import your own Researcher-collected data and externally managed data sets if approved by the data provider.

Linkage to the following is NOT required:

• Federal data
• Cross-Ministry data
• Data exclusively available through PopData 

Differences

HDPBC projects

PopData projects

For requests requiring access to data governed by multiple health organizations - a single review is conducted by the Health Data Council (comprising of members from participating health organizations).

Requests requiring access to Health Information Banks or Pharma data will require additional review and approval by the Data Stewardship Committee under the eHealth Act.

For requests requiring access to data governed by multiple health organizations – a review is conducted by each Data Steward governing the data set requested.

Requests requiring access to Health Information Banks or Pharma data will require additional review and approval by the Data Stewardship Committee under the eHealth Act.

The HDPBC Secure Environment (SE)

A cloud-based secure environment accessible via two-factor authentication using Microsoft authenticator app, with expandable storage capacity.

• Default compute of 16GB RAM with ability to increase as needed. 
• Ability to import public git URLs 

For more information, go to: the HDPBC website

The PopData Secure Research Environment (SRE)

A secure private cloud accessible only via an encrypted Virtual Private Network (VPN) through a firewall and use of a YubiKey® for two-factor authentication. 

For more information, go to: the Secure Research Environment  

Access to relational database in a secure environment

• Views to pre-loaded data reducing the need for additional data loading
• Ability for analysts to create their own cohort or evolve their analysis cohort using all approved data sets 
• Request support to build cohorts via code examples from within the secure environment

Access to flat ASCII files in a secure environment

• Option to request a custom cohort
• For Core extracts, the ability for analysts to to create their own cohort

Includes: SQL, SAS, Python, R & Rtools, Data Bricks

For a complete list of the tools and utilities available, go to: Data access and click on What tools are available in each stream for statistical analysis?

Includes: SQL, SAS, Python, R & Rtools, SPSS 

For a complete list of the tools and utilities available, go to: Data access and click on What tools are available in each stream for statistical analysis?