What is Data Science and Health Informatics?
Data Science is an umbrella term for techniques used when trying to extract insights and information from data. It is the intersection of: statistics, mathematics, computer design & programming, and involves problem-solving, capturing data in ingenious ways, cleansing, preparing, and aligning the data. Data science methods can relate both to structured and unstructured data.
Health Informatics is the use of information and communication technologies in health care (also known as: eHealth, digital health & biomedical informatics). It Is the intersection of computer science, library science, cognitive science, organizational science and health science (e.g. medicine, nursing, pharmacy etc.).
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What are potential areas for methods development within data science and health informatics?
|Data Science methods include:||Health Informatics methods include:|
Stakeholder Consultation Report
Read the DaSHI Stakeholder Consultation Report.
Themes for Projects
For more information, please see our Themes page.
- Methods Cluster Update: November 24th, 2017:
- Methods Cluster Update: June 1, 2018:
Who to Contact
Knowledge Translation Specialist, Methods Clusters: Amber Hui