Topics discussed include:
- The unique IP protection needs and licensing potential for clinical data sets in a variety of technology arenas including:
- Life Sciences
- Artificial Intelligence and Big Data
- Relational Databases
- Guidelines for decision-making regarding what data sets can and cannot be licensed based on the research agreement parameters or sponsoring organization regulations
- Drafting and negotiating controls over data use, distribution, and sub-licensing rights in the license agreement
- The increasing role of privacy and what is triggering the explosion in privacy considerations
- Overview of the EU’s General Data Protection Regulation (GDPR) and The California Consumer Privacy Act (CCPA)
- How the above regulations/legislative measures affect privacy, use and potential monetization of data
Data is fast becoming one of the hottest topics in university licensing — particularly with AI-related innovations and other research projects that rely on huge data sets. Universities — especially those with affiliated health systems — are putting skin in the game, but there are big issues with the legalities of using even blinded clinical data, images, and health records.
With a myriad of laws relating to consent and privacy to be navigated, as well as issues related to the rights of the licensee, how royalties are distributed, and more, we’ve secured two data licensing and privacy experts to lead this urgent program.
Please join Rubén Flores-Saaib, Associate Director of Licensing for USC Stevens Center for Innovation, and attorney and certified privacy practitioner James Casey, Esq., for this one-hour workshop.