De-Identification & Preventing Re-Identification

Summary

This training provides lawyers with essential knowledge and practical skills for de-identifying sensitive information in compliance with legal and regulatory standards. Participants will learn the techniques and best practices to ensure data privacy, focusing on methods to prevent re-identification. Through case studies and practical applications, lawyers will gain a comprehensive understanding of how to protect client confidentiality and mitigate risks associated with data breaches. This training is designed for lawyers, legal professionals, and compliance officers involved in managing and protecting sensitive client information.

 

PRESENTERS

Amy Hawn Nelson
Research Faculty, Director of Training and Technical Assistance
Actionable Intelligence for Social Policy (AISP)

Laia Tiderman
Associate Director,
Data Integration Support Center (DISC)

Sean Cottrell
Operations Director,
Data Integration Support Center (DISC)

 

RESOURCES

• De-identification & Preventing Re-identification Presentation Slides (PDF)
• A Visual Guide to Practical Data De-identification, Future of Privacy Forum
• Data De-identification: An Overview of Basic Terms, Privacy Technical Assistance Center (2012)
• Frequently Asked Questions—Disclosure Avoidance, Privacy Technical Assistance Center (2012)
• Case Study #5: Minimizing Access to PII: Best Practices for Access Controls and Disclosure Avoidance Techniques, Privacy Technical Assistance Center (2012)
• Guidance Regarding Methods for De-identification of Protected Health Information in Accordance with the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule, U.S. Department of Health and Human Services, Health Information Privacy, Special Topics: Research
• How Can Covered Entities Use and Disclose Protected Health Information for Research and Comply with the Privacy Rule?, NIH, Information for Researchers
• SLDS Technical Brief 1: Basic Concepts and Definitions for Privacy and Confidentiality in Student Education Records, NCES 2011-601
• SLDS Technical Brief 3: Statistical Methods for Protecting Personally Identifiable Information in Aggregate Reporting, NCES 2011-603
• Protecting Privacy in Data Releases, A Primer on Disclosure Limitation, Chris Sadler (Last updated on February 24, 2020)
• Handbook on Using Administrative Data for Research and Evidence-based Policy, Shawn Cole, Iqbal Dhaliwal, Anja Sautmann, Lars Vilhuber (2021-01-01)
• Data Protection Toolkit: Report and Resources on Statistical Disclosure Limitation
  Methodology and Tiered Data Access, Federal Committee on Statistical Methodology (2024)
• What is the Five Safes Framework?, UK Data Service
• Understanding Minimum N-Size and Student Data Privacy: A Guide for Advocates, Data Quality Campaign (2017)
• Protecting the Privacy of Personal Information in Integrated Data Systems: Disclosure Avoidance Methods, Terrell, J., & Tiderman, L. (2023)