Tutorials & Workshops
Looking for hands-on guidance?
Explore short tutorials demonstrating how to use common de-identification tools, or dive deeper with workshops that cover key concepts and real-world workflows.
Tutorials
Short, practical demonstrations showing how commonly used de-identification tools can be applied in real research workflows.
Structured Data
Tool for anonymizing tabular datasets using k-anonymity, I-diversity, and other privacy models.
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sdcMicroView Tutorial →
Tool for statistical disclosure of tabular data.
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AmnesiaView Tutorial →
Tool for anonymizing tabular datasets with flexible privacy models.
Unstructured
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NLM-ScrubberView Tutorial →
Tool for de-identifying clinical text by removing personal identifiers using rule-based and dictionary-driven methods.
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QualiAnon View Tutorial →
Tool for anonymizing qualitative text data (e.g., interview transcripts) by identifying and masking personal or sensitive information.
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deid View Tutorial →
Tool for automated de-identification of free-text clinical notes using pattern matching and natural language processing techniques.
Imaging
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Pixel-Med DicomCleaner View Tutorial →
Tool for removing or modifying identifying metadata and pixel data in DICOM images.
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HOROS View Tutorial →
Medical imaging viewer that allows inspection and manual removal of identifying information in DICOM files.
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RadiAnt View Tutorial →
DICOM viewer with basic tools for reviewing images and managing metadata during de-identification workflows.
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Weasis View Tutorial →
Open-source DICOM viewer supporting visualization and management of imaging data, including metadata inspection for de-identification.
Workshops
Extended sessions covering key concepts, workflows, and real-world approaches to data de-identification.
Featured workshop
Practical approaches to de-identification of medical imaging data: from metadata to pixel-level protection
This session provides a practical overview of how identifiable information appears in medical imaging data and how it can be removed to protect patient privacy. Participants will learn key concepts of metadata and pixel-level de-identification, including common sources of personal information (PI) in DICOM files, along with tools and workflows used to support privacy compliance.
Other workshops
A Hands-On Guide to De-identifying Biomedical Data Using SDCmicro
This interactive workshop explored effective methods for de-identifying biomedical data — a critical topic in modern research. Participants learned key principles of data anonymization, techniques for assessing re-identification risk, and gained hands-on experience through real-world examples.
More workshops coming soon!
We are preparing more in-depth sessions.
Stay tuned!
Got an idea or request for a tutorial or workshop?
We are always looking for new ideas to support your work.
Contact us and let us know what you’d like to learn!
See also
- Getting started with de-identification
- Step-by-step de-identification guide
- Link Library [Coming soon]