Thank you for your interest in ARCHIMEDES. If you would like to contribute data to the ARCHIMEDES platform, contact our Community and Partnership Liaison at ARCHIMEDES@ottawaheart.ca to initiate your institution’s Data Contribution Agreement.
De-identification Tools
At ARCHIMEDES, we are committed to supporting responsible health data sharing. All researchers depositing data into the ARCHIMEDES platform are responsible for ensuring their data is appropriately de-identified prior to upload.
To support this process, the ARCHIMEDES team is developing a range of educational resources and tools to help researchers navigate de-identification best practices based on the type and format of their data.
Ongoing Work
De-identification of Health Data for Open Sharing - A Scoping Review
As part of this effort, we are conducting a Scoping Review entitled “De-identification of Health Data for open sharing – A Scoping Review”. This review aims to map the current landscape of de-identification techniques across various forms of health data, identify which methods are applied to which data types, and highlight existing gaps in the field. The results will inform the creation of a clear, structured overview of existing methods to help researchers make informed decisions when preparing their data for sharing.
Coming Soon:
De-identification Resource Hub
These tools are designed to make the de-identification process easier to navigate, while promoting transparency, reproducibility, and data privacy compliance. Our goal is to make the de-identification process more accessible, transparent, and consistent, empowering researchers to share high-quality, privacy-compliant data through the ARCHIMEDES platform.
A list of open-source de-identification toolkits with guidance on their applications to specific data types (e.g., imaging, structured data, free text)
Infographics that break down complex concepts into digestible visuals
Interactive coding tutorials (e.g., Jupyter notebooks) to support users working with larger or more complex datasets
De-Identification Fundamentals
Playlist
Transcript coming soon.