RRLC and WNYLRC are offering up to 25 seats at the upcoming MLA webinar, “Keeping It Private: Supporting Research Privacy and De-Identification of Shared Data”

The NIH data management and sharing requirements, HIPAA, IRBs, and general research ethical standards all have privacy requirements. But many health sciences librarians and even seasoned researchers and compliance officers are unfamiliar with the de-identification techniques necessary to meet requirements for public data sharing and multi-institutional research collaborations. This webinar offers you an opportunity to acquire data privacy skills and knowledge that can make you a valued privacy consultant and trainer in your institution.

David Fearon, a specialist in research data privacy training and consultation, will be your guide and trainer in this introduction to the skills and knowledge needed to provide practical assistance and advice to researchers on:

• Basic human participant data privacy concepts and privacy risks
• Deciding whether sharing de-identifying for public access is feasible for a project.
• Learning basic de-identification techniques for research collaborations and depositing to controlled access data repositories
• Choosing between public and controlled access data repositories on NIH data sharing plans
• Obtaining participant consent for sharing de-identified data.

You’ll learn how to give guidance through a presentation, case studies, and poll questions tied to case studies. You’ll also learn a workflow for assessing de-identified datasets for disclosure risk prior to sharing. This risk screening process is useful for researchers, librarians, and digital archivists supporting data curation for data repositories.

Learning Outcomes

• By the end of this webinar, you will be able to:
• Identify the types of personal and health identifiers with direct and indirect privacy risk
• Identify the amount of de-identification appropriate for various contexts of data sharing
• Explain common de-identification techniques required for medical data sharing
• Advise researchers on the feasibility of sharing data through public or restricted access
• Follow a data curation risk screening workflow applicable to data repository deposit preparation

Audience

Health Sciences librarians and other health information professionals involved in human participant research, data sharing, and archiving, particularly those preparing datasets for collaborative or public sharing.