Open Data Training Video: A proposed data de-identification framework for clinical research

<strong>Objective(s):</strong> Data sharing has enormous potential to accelerate and improve the accuracy of research, strengthen collaborations, and restore trust in the clinical research enterprise. Nevertheless, there remains reluctancy to openly share raw data sets, in part due to concerns regarding research participant confidentiality and privacy. We provide an instructional video to describe a standardized de-identification framework that can be adapted and refined based on specific context and risks.<br /> <br /><strong>Data Description:</strong> Training video, presentation slides.<br /> <br /><strong>Related Resources:</strong> The data de-identification algorithm, dataset, and data dictionary that correspond with this training video are available through the <a href = "https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/MSTH98 ">Smart Triage sub-Dataverse.</a>