The Ontario government announced the creation of the Ontario Health Data Platform COVID-19 (OHDP) to better detect, plan and respond to the COVID-19 outbreak.
Goals & Objectives
The goals of OHDP are to:
- Rapidly expand the breadth and scale of health research to respond to COVID-19 by providing integrated data access to a diverse group of researchers using advanced machine learning and artificial intelligence research methods.
- Enable the advanced research methods by providing researchers with access to a dedicated high performance computing cluster
- Protect the privacy and confidentiality of personal health information.
The objectives of the OHDP are:
- Collect data sets currently held in multiple locations and link them at the individual level to provide critical information about the nature and spread of COVID-19, the health and treatment consequences, and the impact of alternative policies in Ontario.
- Provide a computing platform where these data may be securely accessed with the high-performance computing resources needed for machine learning.
- Limit access to these data sets to trustworthy researchers, who are bound by law, ethics, the terms of their employment, and their research grants to protect the privacy and confidentiality of the data they work with.
- Provide access to rapid approval by a dedicated research ethics board that is obligated to ensure that the OHDP’s access framework protects privacy and confidentiality and projects are consistent with all ethical guidelines governing research.
Most commonly used terms in the in the context of the Ontario Health Data Platform COVID-19.
- AI - Artificial Intelligence
- ARC - Advanced Research Computing
- DCP - Dataset Creation Plan
- DRI - Digital Research Infrastructure, includes all components of the system including network, software, hardware, HQP, storage, and data management
- Federated -
- HAIDAP - Health Artificial Intelligence Data Analysis Platform
- HIC - Health Information Custodians
- HPC – High-Performance Computing
- HQP - Highly Qualified Personnel
- ML - Machine learning
- MOU - Memorandum of Understanding
- ODSH – Ontario Data Safe Haven
- PAW - Project Activation Worksheet
- PHIPA – Personal Health Information Protection Act
- PIA - Privacy Impact Assessment
- PI - Principal Investigator
- Pseudonymization - data management and de-identification procedure by which personally identifiable information fields within a data record are replaced by one or more artificial identifiers or pseudonyms
- Query - A query is a request for data or information from a database table or combination of tables
- REB - Research Ethics Board
- SLA - Service-level agreement
- VPR – Vice-President of Research
Date modified: 2020-07-08