Commercial Value of Data
Who you'll hear from
Ben Slang, Associate, Membership and Business Development

Jen Mielguj, Director, Intellectual Property and Partnerships
thought leaders
Craig Aitken, Lawyer & Founder, Aitken Legal

Patricia Thaine, Co-Founder & CEO, Private AI

Laurence MacPhie – Director of Intellectual Property, Deep Genomics

Celia Wanderley, Chief Technology Officer, AltaML
With the growth of data as a commercial asset, particularly within the health context, there are important practical considerations in relation to intellectual property as well as in preserving confidentiality and achieving compliance with privacy and other regulatory requirements before data is leveraged for commercialization purposes.

The 60-minute video Data as a Commercial Asset: Privacy and Intellectual Property Considerations from the Field is produced by DIGITAL and explores the commercial value of data as a key asset, focusing on critical issues such as intellectual property, privacy, and regulatory requirements in Canada. In it, industry thought leaders provide valuable insights on protecting data across various sectors, including biotech and privacy compliance and legal considerations generally and within a health context (ex. PIPEDA, FIPPA, PHIPA, GDPR). They emphasize the necessity of strong data control and cybersecurity measures for startups to ensure sustainable success.

Key discussions cover the challenges and strategies for integrating data safeguards into business strategies, highlighting the importance of compliance, certifications, and frameworks for data-driven enterprises. Discussions also include practical considerations and best practices regarding intellectual property associated with data sets and for implementing privacy and information security controls and protections. You will also learn about tools to help frame a health information and privacy collection compliance mindset for structured versus unstructured data.  

Key questions addressed in the webinar include: 

• What are some challenges and strategies discussed for startups when working with data in a commercial context?

• Why is control over data access and protection of sensitive information important for startups?

• Why is documentation and control over data access key for IP retention?

• What are some considerations emphasized for startups transitioning into income models and investing in cybersecurity and data control?

• What are some of the complexities in IP ownership rights over data sets, and how does the negotiation process work?